get_log_p_D_KL: Estimates the significance of the observed Kullback-Leibler...

In alexisvdb/singleCellHaystack: A Universal Differential Expression Prediction Tool for Single-Cell and Spatial Genomics Data

Estimates the significance of the observed Kullback-Leibler divergence by comparing to randomizations.

Description

Estimates the significance of the observed Kullback-Leibler divergence by comparing to randomizations.

Usage

get_log_p_D_KL(T.counts, D_KL.observed, D_KL.randomized, output.dir = NULL)

Arguments

T.counts	The number of cells in which a gene is detected.
D_KL.observed	A vector of observed Kullback-Leibler divergences.
D_KL.randomized	A matrix of Kullback-Leibler divergences of randomized datasets.
output.dir	Optional parameter. Default is NULL. If not NULL, some files will be written to this directory.

Value

A vector of log10 p values, not corrected for multiple testing using the Bonferroni correction.

alexisvdb/singleCellHaystack documentation built on Jan. 17, 2024, 10:45 a.m.