pcainfo: pcainfo

In inDAGO: A GUI for Dual and Bulk RNA-Sequencing Analysis

pcainfo

Description

Perform Principal Component Analysis (PCA) on log-expression data.

Usage

pcainfo(logcounts, center, scale)

Arguments

logcounts	Numeric matrix. Log-CPM values (genes × samples), e.g., from edgeR::cpm..
center	Logical. If TRUE, center variables by subtracting the mean (default: TRUE).
scale	Logical. If TRUE, scale variables to unit variance (default: FALSE).

Details

This function transposes a log-count matrix (samples as columns, genes as rows) and runs PCA using "stats::prcomp() ", with options to center and scale variables.

Value

An object of class "prcomp " containing the PCA results, including loadings, scores, and explained variance.

inDAGO documentation built on Aug. 8, 2025, 7:47 p.m.