perturbate_poisson: Generate perturbated counts by the Poisson distribution

In treefit: The First Software for Quantitative Trajectory Inference

Description

Generate perturbated counts from the original counts by the Poisson distribution.

Usage

perturbate_poisson(counts, strength = 1)

Arguments

counts	The original counts. The rows and columns correspond to samples and features. The values are count of features.
strength	How much perturbated. 0.0 is weak. 1.0 is strong.

Value

A perturbated counts as a matrix. The matrix's counts are perturbated from the original counts. The shape of the matrix is the same as the original counts. The dimension names of the matrix are also the same as the original counts.

Note

This is an API for advanced users. This API may be changed.

treefit documentation built on Jan. 18, 2022, 9:06 a.m.