PomaDESeq: Differential Expression Analysis Based on the Negative...

In pcastellanoescuder/POMA: Tools for Omics Data Analysis

Differential Expression Analysis Based on the Negative Binomial Distribution

Description

PomaDESeq estimates variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution.

Usage

PomaDESeq(data, adjust = "fdr")

Arguments

data	A SummarizedExperiment object.
adjust	Character. Multiple comparisons correction method to adjust p-values. Available options are: "fdr" (false discovery rate), "holm", "hochberg", "hommel", "bonferroni", "BH" (Benjamini-Hochberg), and "BY" (Benjamini-Yekutieli).

Value

A tibble with the results.

Author(s)

Pol Castellano-Escuder

References

Love, M.I., Huber, W., Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 Genome Biology 15(12):550 (2014)

pcastellanoescuder/POMA documentation built on March 15, 2024, 10:08 p.m.