# Load full Seurat object
All_samples <- readRDS("../../0-Seurat_RDS_OBJECT_FINAL/Seurat_object_Final_changes/All_samples_Merged_with_STCAT_Annotation_final-5-09-2025.rds")
DefaultAssay(All_samples) <- "RNA"
Idents(All_samples) <- "orig.ident"
# Define groups exactly as in metadata
cell_groups <- c("L1","L2","L3","L4","L5","L6","L7","CD4T_lab","CD4T_10x")
# Initialize empty list
predictions_all <- list()
for (grp in cell_groups){
message("Processing group: ", grp)
# Subset Seurat object by orig.ident only
subset_obj <- subset(All_samples, idents = grp)
# Check that the subset has cells
if(ncol(subset_obj) == 0){
warning("No cells found for group: ", grp)
next
}
# Get counts and filter zero-count genes
sparse_matrix <- GetAssayData(subset_obj, assay="RNA", slot="counts")
sparse_matrix_filtered <- sparse_matrix[rowSums(sparse_matrix) > 0, ]
# Run scATOMIC
cell_predictions <- run_scATOMIC(sparse_matrix_filtered)
# Create summary matrix
summary_matrix <- create_summary_matrix(
prediction_list = cell_predictions,
use_CNVs = FALSE,
modify_results = TRUE,
mc.cores = 1,
raw_counts = sparse_matrix,
min_prop = 0.5
)
# Interactive tree (optional)
tree_results_Interactive <- scATOMICTree(
predictions_list = cell_predictions,
summary_matrix = summary_matrix,
interactive_mode = TRUE,
collapsed = TRUE,
save_results = FALSE,
height = 700,
width = 1000
)
print(tree_results_Interactive)
# Non-interactive tree (optional)
tree_results_Non_Interactive <- scATOMICTree(
predictions_list = cell_predictions,
summary_matrix = summary_matrix,
interactive_mode = FALSE,
collapsed = TRUE,
save_results = FALSE
)
print(tree_results_Non_Interactive)
# Store summary matrix in list
predictions_all[[grp]] <- summary_matrix
# Clean up memory properly
rm(
subset_obj,
sparse_matrix,
sparse_matrix_filtered,
cell_predictions,
summary_matrix,
tree_results_Interactive,
tree_results_Non_Interactive
)
gc()
}
[1] "Starting Layer 1"
[1] "Done Layer 1"
[1] "Starting Layer 2 Non Blood"
[1] "Done Layer 2 Non Blood"
[1] "Starting Layer 3 Non Stromal"
[1] "Done Layer 3 Non Stromal"
[1] "Starting Layer 4 Non GI"
[1] "Done Layer 4 Non GI"
[1] "Starting Layer 5 Breast Lung Prostate"
[1] "nothing to score in this layer"
[1] "Done Layer 5 Breast Lung Prostate"
[1] "Starting Layer 4 Soft Tissue Neuro"
[1] "Done Layer 4 Soft Tissue Neuro"
[1] "Starting Layer 2 Blood"
[1] "Done Layer 2 Blood"
[1] "Starting Layer 3 TNK"
[1] "Done Layer 3 TNK"
[1] "Starting Layer 4 CD4 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD4 CD8"
[1] "Starting Layer 5 CD4"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD4"
[1] "Starting Layer 5 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD8"
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/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (5825 x 36601) matrix will require approximately 1.59GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/graphtools/base.py:165: RuntimeWarning: Cannot perform PCA to 100 dimensions on data with min(n_samples, n_features) = 100
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/graphtools/base.py:165: RuntimeWarning: Cannot perform PCA to 100 dimensions on data with min(n_samples, n_features) = 71
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/graphtools/base.py:165: RuntimeWarning: Cannot perform PCA to 100 dimensions on data with min(n_samples, n_features) = 34
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
[1] "Sample classification confidence = 0.15"
[1] "Starting Layer 1"
[1] "Done Layer 1"
[1] "Starting Layer 2 Non Blood"
[1] "Done Layer 2 Non Blood"
[1] "Starting Layer 3 Non Stromal"
[1] "Done Layer 3 Non Stromal"
[1] "Starting Layer 4 Non GI"
[1] "Done Layer 4 Non GI"
[1] "Starting Layer 5 Breast Lung Prostate"
[1] "nothing to score in this layer"
[1] "Done Layer 5 Breast Lung Prostate"
[1] "Starting Layer 2 Blood"
[1] "Done Layer 2 Blood"
[1] "Starting Layer 3 TNK"
[1] "Done Layer 3 TNK"
[1] "Starting Layer 4 CD4 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD4 CD8"
[1] "Starting Layer 4 CD8 NK"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD8 NK"
[1] "Starting Layer 5 CD4"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD4"
[1] "Starting Layer 5 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD8"
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/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (5935 x 36601) matrix will require approximately 1.62GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (5155 x 36601) matrix will require approximately 1.41GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (3587 x 36601) matrix will require approximately 0.98GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/graphtools/base.py:165: RuntimeWarning: Cannot perform PCA to 100 dimensions on data with min(n_samples, n_features) = 37
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
[1] "Sample classification confidence = 0.33"
[1] "Starting Layer 1"
[1] "Done Layer 1"
[1] "Starting Layer 2 Non Blood"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 2 Non Blood"
[1] "Starting Layer 3 Non Stromal"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 3 Non Stromal"
[1] "Starting Layer 4 Non GI"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 4 Non GI"
[1] "Starting Layer 5 Breast Lung Prostate"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "nothing to score in this layer"
[1] "Done Layer 5 Breast Lung Prostate"
[1] "Starting Layer 4 Soft Tissue Neuro"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 4 Soft Tissue Neuro"
[1] "Starting Layer 2 Blood"
[1] "Done Layer 2 Blood"
[1] "Starting Layer 3 TNK"
[1] "Done Layer 3 TNK"
[1] "Starting Layer 4 CD4 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD4 CD8"
[1] "Starting Layer 5 CD4"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD4"
[1] "Starting Layer 3 Myeloid"
[1] "Done Layer 3 Myeloid"
[1] "Starting Layer 4 Macrophage Monocyte"
[1] "nothing to score in this layer"
[1] "Done Layer 4 Macrophage Monocyte"
[1] "Starting Layer 5 Macrophage"
[1] "nothing to score in this layer"
[1] "Done Layer 5 Macrophage"
[1] "Starting Layer 3 B Cell"
[1] "Done Layer 3 B Cell"
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/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (6428 x 36601) matrix will require approximately 1.75GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
[1] "Sample classification confidence = 0.92"
[1] "Starting Layer 1"
[1] "Done Layer 1"
[1] "Starting Layer 2 Non Blood"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 2 Non Blood"
[1] "Starting Layer 3 Non Stromal"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 3 Non Stromal"
[1] "Starting Layer 4 Non GI"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 4 Non GI"
[1] "Starting Layer 5 Breast Lung Prostate"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "nothing to score in this layer"
[1] "Done Layer 5 Breast Lung Prostate"
[1] "Starting Layer 2 Blood"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 2 Blood"
[1] "Starting Layer 3 TNK"
[1] "Done Layer 3 TNK"
[1] "Starting Layer 4 CD4 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD4 CD8"
[1] "Starting Layer 5 CD4"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD4"
[1] "Starting Layer 3 B Cell"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/graphtools/base.py:165: RuntimeWarning: Cannot perform PCA to 100 dimensions on data with min(n_samples, n_features) = 41
warnings.warn(
[1] "Done Layer 3 B Cell"
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/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (6006 x 36601) matrix will require approximately 1.64GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (5457 x 36601) matrix will require approximately 1.49GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (4144 x 36601) matrix will require approximately 1.13GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
[1] "Sample classification confidence = 0.84"
[1] "Starting Layer 1"
[1] "Done Layer 1"
[1] "Starting Layer 2 Non Blood"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 2 Non Blood"
[1] "Starting Layer 3 Non Stromal"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 3 Non Stromal"
[1] "Starting Layer 4 Non GI"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 4 Non GI"
[1] "Starting Layer 5 Breast Lung Prostate"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "nothing to score in this layer"
[1] "Done Layer 5 Breast Lung Prostate"
[1] "Starting Layer 4 Soft Tissue Neuro"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 4 Soft Tissue Neuro"
[1] "Starting Layer 2 Blood"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 2 Blood"
[1] "Starting Layer 3 TNK"
[1] "Done Layer 3 TNK"
[1] "Starting Layer 4 CD4 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD4 CD8"
[1] "Starting Layer 5 CD4"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD4"
[1] "Starting Layer 5 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD8"
|
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/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (6022 x 36601) matrix will require approximately 1.64GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (5190 x 36601) matrix will require approximately 1.42GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
[1] "Sample classification confidence = 0.42"
[1] "Starting Layer 1"
[1] "Done Layer 1"
[1] "Starting Layer 2 Non Blood"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 2 Non Blood"
[1] "Starting Layer 3 Non Stromal"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 3 Non Stromal"
[1] "Starting Layer 4 Non GI"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 4 Non GI"
[1] "Starting Layer 5 Breast Lung Prostate"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "nothing to score in this layer"
[1] "Done Layer 5 Breast Lung Prostate"
[1] "Starting Layer 4 Soft Tissue Neuro"
[1] "Done Layer 4 Soft Tissue Neuro"
[1] "Starting Layer 2 Blood"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 2 Blood"
[1] "Starting Layer 3 TNK"
[1] "Done Layer 3 TNK"
[1] "Starting Layer 4 CD4 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD4 CD8"
[1] "Starting Layer 4 CD8 NK"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD8 NK"
[1] "Starting Layer 5 CD4"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD4"
[1] "Starting Layer 5 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD8"
[1] "Starting Layer 3 Myeloid"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/graphtools/base.py:165: RuntimeWarning: Cannot perform PCA to 100 dimensions on data with min(n_samples, n_features) = 24
warnings.warn(
[1] "Done Layer 3 Myeloid"
[1] "Starting Layer 4 Dendritic"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/graphtools/base.py:165: RuntimeWarning: Cannot perform PCA to 100 dimensions on data with min(n_samples, n_features) = 24
warnings.warn(
[1] "nothing to score in this layer"
[1] "Done Layer 4 Dendritic"
[1] "Starting Layer 5 cDC"
[1] "nothing to score in this layer"
[1] "Done Layer 5 cDC"
|
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/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (5148 x 36601) matrix will require approximately 1.40GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (4215 x 36601) matrix will require approximately 1.15GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (3038 x 36601) matrix will require approximately 0.83GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
[1] "Sample classification confidence = 0.07"
[1] "Starting Layer 1"
[1] "Done Layer 1"
[1] "Starting Layer 2 Non Blood"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 2 Non Blood"
[1] "Starting Layer 3 Non Stromal"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 3 Non Stromal"
[1] "Starting Layer 4 Non GI"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 4 Non GI"
[1] "Starting Layer 5 Breast Lung Prostate"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "nothing to score in this layer"
[1] "Done Layer 5 Breast Lung Prostate"
[1] "Starting Layer 4 Soft Tissue Neuro"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 4 Soft Tissue Neuro"
[1] "Starting Layer 2 Blood"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
[1] "Done Layer 2 Blood"
[1] "Starting Layer 3 TNK"
[1] "Done Layer 3 TNK"
[1] "Starting Layer 4 CD4 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD4 CD8"
[1] "Starting Layer 5 CD4"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD4"
[1] "Starting Layer 5 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD8"
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/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (5331 x 36601) matrix will require approximately 1.45GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (4657 x 36601) matrix will require approximately 1.27GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:455: UserWarning: Returning imputed values for all genes on a (3518 x 36601) matrix will require approximately 0.96GB of memory. Suppress this warning with `genes='all_genes'`
warnings.warn(
[1] "Added MAGIC output to MAGIC_RNA. To use it, pass assay='MAGIC_RNA' to downstream methods or set seurat_object@active.assay <- 'MAGIC_RNA'."
[1] "Sample classification confidence = 0.02"
[1] "Starting Layer 1"
[1] "Done Layer 1"
[1] "Starting Layer 2 Blood"
[1] "Done Layer 2 Blood"
[1] "Starting Layer 3 TNK"
[1] "Done Layer 3 TNK"
[1] "Starting Layer 4 CD4 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD4 CD8"
[1] "Starting Layer 4 CD8 NK"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD8 NK"
[1] "Starting Layer 5 CD4"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD4"
[1] "Starting Layer 5 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD8"
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[1] "Sample classification confidence = 1.00"
[1] "Starting Layer 1"
[1] "Done Layer 1"
[1] "Starting Layer 2 Blood"
[1] "Done Layer 2 Blood"
[1] "Starting Layer 3 TNK"
[1] "Done Layer 3 TNK"
[1] "Starting Layer 4 CD4 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD4 CD8"
[1] "Starting Layer 4 CD8 NK"
[1] "nothing to score in this layer"
[1] "Done Layer 4 CD8 NK"
[1] "Starting Layer 5 CD4"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD4"
[1] "Starting Layer 5 CD8"
[1] "nothing to score in this layer"
[1] "Done Layer 5 CD8"
[1] "Starting Layer 3 Myeloid"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/graphtools/base.py:165: RuntimeWarning: Cannot perform PCA to 100 dimensions on data with min(n_samples, n_features) = 22
warnings.warn(
[1] "Done Layer 3 Myeloid"
[1] "Starting Layer 4 Macrophage Monocyte"
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/magic/magic.py:425: UserWarning: Input matrix contains unexpressed genes. Please remove them prior to running MAGIC.
warnings.warn(
/home/bioinfo/.virtualenvs/r-reticulate/lib/python3.12/site-packages/graphtools/base.py:165: RuntimeWarning: Cannot perform PCA to 100 dimensions on data with min(n_samples, n_features) = 22
warnings.warn(
[1] "nothing to score in this layer"
[1] "Done Layer 4 Macrophage Monocyte"
[1] "Starting Layer 5 Monocyte"
[1] "nothing to score in this layer"
[1] "Done Layer 5 Monocyte"
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[1] "Sample classification confidence = 1.00"
gc()
used (Mb) gc trigger (Mb) max used (Mb)
Ncells 6027482 322.0 10776783 575.6 10776783 575.6
Vcells 1517319639 11576.3 3905287830 29795.0 3905287199 29795.0
# Create empty vector for predictions
All_samples$scATOMIC_pred <- NA
# Loop through groups and assign predictions per cell
for(grp in names(predictions_all)){
preds <- predictions_all[[grp]]$scATOMIC_pred
cells <- rownames(predictions_all[[grp]])
# Assign predictions to Seurat object
All_samples$scATOMIC_pred[cells] <- preds
}
DimPlot(All_samples, group.by="scATOMIC_pred", reduction = "umap") +
ggtitle("scATOMIC Annotations for All Cell Lines and Controls") +
labs(fill="scATOMIC")
NA
NA
# ========================
# 1. Heatmap: Clusters × Predictions
# ========================
library(pheatmap)
library(ggplot2)
# Cluster-level contingency table
table_clusters <- table(All_samples$seurat_clusters, All_samples$scATOMIC_pred)
prop_clusters <- prop.table(as.matrix(table_clusters), margin = 1)
# Heatmap
pheatmap(
prop_clusters,
cluster_rows = TRUE,
cluster_cols = TRUE,
color = colorRampPalette(c("white", "red"))(100),
main = "scATOMIC Predictions per Cluster"
)
# ========================
# 2. Barplot: Clusters × Predictions
# ========================
df_clusters <- as.data.frame(table(All_samples$seurat_clusters, All_samples$scATOMIC_pred))
colnames(df_clusters) <- c("Cluster", "Prediction", "Count")
ggplot(df_clusters, aes(x = Cluster, y = Count, fill = Prediction)) +
geom_bar(stat = "identity", position = "fill") +
scale_y_continuous(labels = scales::percent) +
ggtitle("scATOMIC Predictions by Cluster") +
theme_minimal()
# ========================
# 3. Heatmap: Cell lines × Predictions
# ========================
# Cell line-level contingency table
table_cellline <- table(All_samples$orig.ident, All_samples$scATOMIC_pred)
prop_cellline <- prop.table(as.matrix(table_cellline), margin = 1)
# Heatmap
pheatmap(
prop_cellline,
cluster_rows = TRUE,
cluster_cols = TRUE,
color = colorRampPalette(c("white", "red"))(100),
main = "scATOMIC Predictions per Cell Line"
)
# ========================
# 4. Barplot: Cell lines × Predictions
# ========================
df_cellline <- as.data.frame(table(All_samples$orig.ident, All_samples$scATOMIC_pred))
colnames(df_cellline) <- c("CellLine", "Prediction", "Count")
ggplot(df_cellline, aes(x = CellLine, y = Count, fill = Prediction)) +
geom_bar(stat = "identity", position = "fill") +
scale_y_continuous(labels = scales::percent) +
ggtitle("scATOMIC Predictions by Cell Line") +
theme_minimal()
saveRDS(All_samples, file="All_samples_Merged_scATOMIC_26-09-2025.rds")
sessionInfo()
R version 4.5.1 (2025-06-13)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 24.04.3 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.12.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0 LAPACK version 3.12.0
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C LC_TIME=fr_FR.UTF-8 LC_COLLATE=en_GB.UTF-8
[5] LC_MONETARY=fr_FR.UTF-8 LC_MESSAGES=en_GB.UTF-8 LC_PAPER=fr_FR.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=C
time zone: Europe/Paris
tzcode source: system (glibc)
attached base packages:
[1] parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] future_1.67.0 cutoff.scATOMIC_0.1.0 agrmt_1.42.12 scATOMIC_2.0.3
[5] copykat_1.1.0 Rmagic_2.0.3 reticulate_1.43.0 caret_7.0-1
[9] lattice_0.22-7 randomForest_4.7-1.2 plyr_1.8.9 data.table_1.17.8
[13] Matrix_1.7-4 pheatmap_1.0.13 ggplot2_4.0.0 patchwork_1.3.2
[17] dplyr_1.1.4 Seurat_5.3.0 SeuratObject_5.2.0 sp_2.2-0
loaded via a namespace (and not attached):
[1] RcppAnnoy_0.0.22 splines_4.5.1 later_1.4.4 tibble_3.3.0
[5] polyclip_1.10-7 hardhat_1.4.2 pROC_1.19.0.1 rpart_4.1.24
[9] fastDummies_1.7.5 lifecycle_1.0.4 rprojroot_2.1.1 globals_0.18.0
[13] MASS_7.3-65 tree_1.0-45 magrittr_2.0.4 plotly_4.11.0
[17] sass_0.4.10 rmarkdown_2.29 jquerylib_0.1.4 yaml_2.3.10
[21] httpuv_1.6.16 sctransform_0.4.2 spam_2.11-1 spatstat.sparse_3.1-0
[25] cowplot_1.2.0 pbapply_1.7-4 RColorBrewer_1.1-3 lubridate_1.9.4
[29] abind_1.4-8 Rtsne_0.17 purrr_1.1.0 nnet_7.3-20
[33] rappdirs_0.3.3 ipred_0.9-15 lava_1.8.1 data.tree_1.2.0
[37] ggrepel_0.9.6 irlba_2.3.5.1 listenv_0.9.1 spatstat.utils_3.2-0
[41] goftest_1.2-3 RSpectra_0.16-2 spatstat.random_3.4-2 fitdistrplus_1.2-4
[45] parallelly_1.45.1 codetools_0.2-20 tidyselect_1.2.1 farver_2.1.2
[49] matrixStats_1.5.0 stats4_4.5.1 spatstat.explore_3.5-3 jsonlite_2.0.0
[53] progressr_0.16.0 ggridges_0.5.7 survival_3.8-3 iterators_1.0.14
[57] bbmle_1.0.25.1 foreach_1.5.2 tools_4.5.1 ica_1.0-3
[61] Rcpp_1.1.0 glue_1.8.0 prodlim_2025.04.28 gridExtra_2.3
[65] dlm_1.1-6.1 xfun_0.53 here_1.0.2 amap_0.8-20
[69] withr_3.0.2 numDeriv_2016.8-1.1 fastmap_1.2.0 digest_0.6.37
[73] parallelDist_0.2.6 timechange_0.3.0 R6_2.6.1 mime_0.13
[77] scattermore_1.2 tensor_1.5.1 dichromat_2.0-0.1 spatstat.data_3.1-8
[81] DiagrammeR_1.0.11 tidyr_1.3.1 generics_0.1.4 recipes_1.3.1
[85] class_7.3-23 httr_1.4.7 htmlwidgets_1.6.4 uwot_0.2.3
[89] ModelMetrics_1.2.2.2 pkgconfig_2.0.3 gtable_0.3.6 timeDate_4041.110
[93] rsconnect_1.5.1 lmtest_0.9-40 S7_0.2.0 htmltools_0.5.8.1
[97] dotCall64_1.2 scales_1.4.0 png_0.1-8 gower_1.0.2
[101] spatstat.univar_3.1-4 knitr_1.50 rstudioapi_0.17.1 reshape2_1.4.4
[105] visNetwork_2.1.4 nlme_3.1-168 bdsmatrix_1.3-7 cachem_1.1.0
[109] zoo_1.8-14 stringr_1.5.2 KernSmooth_2.23-26 miniUI_0.1.2
[113] pillar_1.11.1 grid_4.5.1 vctrs_0.6.5 RANN_2.6.2
[117] promises_1.3.3 xtable_1.8-4 cluster_2.1.8.1 evaluate_1.0.5
[121] mvtnorm_1.3-3 cli_3.6.5 compiler_4.5.1 rlang_1.1.6
[125] crayon_1.5.3 future.apply_1.20.0 labeling_0.4.3 stringi_1.8.7
[129] viridisLite_0.4.2 deldir_2.0-4 lazyeval_0.2.2 spatstat.geom_3.6-0
[133] RcppHNSW_0.6.0 shiny_1.11.1 ROCR_1.0-11 igraph_2.1.4
[137] RcppParallel_5.1.11-1 bslib_0.9.0 collapsibleTree_0.1.8