MK_DEGs: MK_DEGs: One-step identification of DEGs.

In MikuGene/MikuGene: A simple bioinformatics analysis software package.

MK_DEGs: One-step identification of DEGs.

Description

One-step identification of differentially expressed genes by limma R package.

Usage

MK_DEGs <- function(x, y, filt = T, log2FC = 2, padj = 0.01, pval = 0.01, save = T, Order = T, name = "temp")

Arguments

x	Experimental (positive) group matrix.
y	Control (negative) group matrix.
filt	Filter the results by custom thresholds (log2FC and padj). Default TRUE.
log2FC	Custom threshold of log2-foldchange. Default 2.
padj	Custom threshold of ajust p-value (BH method). Default 0.01.
Save	Automatically save the resulting files. Default TRUE.
Order	Sort the analysis results in descending order by log2FC. Default TRUE.
name	Custom naming of this process. Default "temp".

Details

Please: citation("limma")

Note

—- MikuGene Bioinformatics Ecological Community.

Author(s)

Lianhao Song (CodeNight)

Examples

MK_DEGs(Pos-matrix, Neg-matrix, name = "DEGs")

MikuGene/MikuGene documentation built on March 24, 2022, 1:28 a.m.