Preprocessing

Functions for preprocessing of single cell RNA-seq counts

palantir.preprocess.filter_counts_data(data, cell_min_molecules=1000, genes_min_cells=10)View on GitHub

Remove low molecule count cells and low detection genes

Parameters:
  • data – Counts matrix: Cells x Genes

  • cell_min_molecules – Minimum number of molecules per cell

  • genes_min_cells – Minimum number of cells in which a gene is detected

Returns:

Filtered counts matrix

palantir.preprocess.log_transform(data, pseudo_count=0.1)View on GitHub

Log transform the matrix

Parameters:

data – Counts matrix: Cells x Genes or Anndata object

Returns:

Log transformed matrix

palantir.preprocess.normalize_counts(data)View on GitHub

Correct the counts for molecule count variability

Parameters:

data – Counts matrix: Cells x Genes

Returns:

Normalized matrix