Make & save UMAP featuremaps for QC metrics

Usage

qc_featuremaps(
  obj,
  metrics = c("nCount_QC", "nFeature_QC", "pctMT_QC", "MALAT1_frac_QC",
    "stress_score_QC", "intronic_frac_QC", "spliced_frac_QC", "unspliced_frac_QC",
    "u2s_ratio_QC", "dbl_score"),
  save_dir = "qc_outputs",
  prefix = "qc",
  ncol = 4,
  logify = c(nCount_QC = TRUE, nFeature_QC = TRUE, u2s_ratio_QC = TRUE, dbl_score =
    FALSE)
)

Arguments

obj: Seurat object (must have UMAP). Use .ensure_pca_umap() beforehand.
metrics: Vector of meta column names to plot (only those present are used)
save_dir: Where to write PNGs
prefix: File prefix for images
ncol: Number of columns in the grid image
logify: Named logical vector: which metrics to log1p/ log10; defaults below