Shreshth Gandhi
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# Parse PBMC cytokine: 18 cell types x 12 donors x ~100 cytokines
# Each h5ad file is one cell type with all donors and cytokines.
# Pseudobulk is computed per (donor, cytokine) within each cell type,
# with PBS as the control condition.
dataset: parse
h5ad_dir: /nvme-shared/Data/parse_pbmc/by_cell_type
h5ad_pattern: "*.h5ad"
treatment_col: cytokine
control: PBS
# Within each h5ad (one cell type), stratify by donor.
group_col: donor
# The cell type identity comes from the filename — carry it in output.
file_id_col: cell_type
pdex:
output_dir: /nvme-shared/Data/parse_pbmc/by_cell_type/pdex_results
threads: 24
n_workers: 8 # parallel workers over group_col values
celleval:
output_dir: /nvme-shared/Data/parse_pbmc/by_cell_type/delta_results
gene_mode: all_genes
gene_name_col: null # use var.index
target_sum: 3320 # dataset-wide median transcript count