Package

r-aldex2

Description

Analysis Of Differential Abundance Taking Sample Variation Into Account.
A differential abundance analysis for the comparison of two or more
conditions. Useful for analyzing data from standard RNA-seq or meta-RNA-
seq assays as well as selected and unselected values from in-vitro
sequence selections. Uses a Dirichlet-multinomial model to infer
abundance from counts, optimized for three or more experimental
replicates. The method infers biological and sampling variation to
calculate the expected false discovery rate, given the variation, based
on a Wilcoxon Rank Sum test and Welch's t-test (via aldex.ttest), a
Kruskal-Wallis test (via aldex.kw), a generalized linear model (via
aldex.glm), or a correlation test (via aldex.corr). All tests report
p-values and Benjamini-Hochberg corrected p-values.

Note