cellrank.tl.estimators.GPCCA.lineage_drivers
- property GPCCA.lineage_drivers: Optional[pandas.core.frame.DataFrame]
Potential lineage drivers.
Computes Pearson correlation of each gene with fate probabilities for every terminal state. High Pearson correlation indicates potential lineage drivers. Also computes p-values and confidence intervals.
- Return type
- Returns
Dataframe of shape
(n_genes, n_lineages * 5)
containing the following columns, one for each lineage:{lineage}_corr
- correlation between the gene expression and absorption probabilities.{lineage}_pval
- calculated p-values for double-sided test.{lineage}_qval
- corrected p-values using Benjamini-Hochberg method at level 0.05.{lineage}_ci_low
- lower bound of theconfidence_level
correlation confidence interval.{lineage}_ci_high
- upper bound of theconfidence_level
correlation confidence interval.