LipidomicsR (version 0.3.6)

FC_P: Calculate Fold Change and p-values for differential expression analysis

Description

This function calculates the log2 fold change (FC) and p-values for differential expression analysis between two groups of data.

Usage

FC_P(compare1, compare2, p.adj = FALSE, method = "fdr")

Value

A data frame containing the log2 fold change and -log10 transformed p-values for each row (e.g., genes, features) in the input data.

Arguments

compare1

A matrix or data frame representing the first group of data.

compare2

A matrix or data frame representing the second group of data.

p.adj

Logical. Should p-values be adjusted for multiple testing?

method

The method to use for p-value adjustment. Options: 'fdr', 'bonferroni', 'holm', etc.

Examples

compare1 <- matrix(rnorm(100), ncol = 10)
compare2 <- matrix(rnorm(100), ncol = 10)
result <- FC_P(compare1, compare2, p.adj = TRUE)