ICA_from_file: Do Independent components analysis The input matrix X (input...

View source: R/ICA_from_file.R

ICA_from_fileR Documentation

Do Independent components analysis The input matrix X (input as genes in rows, samples in columns) is a linear combination of non-Gaussian independent components. As opposed to PCA, which assumes generally Gaussian distributed data. Assume X = SA, where S are the independent components. We want to find another matrix W , where XW = S, to unmix

Description

Input: matrix X (ex. rows as genes, cols as samples) Output: plots only currently

Usage

ICA_from_file(data, data.labels, comps = 5)

Arguments

data

file for the input matrix X (.txt or .RDS file)

data.labels

labels for samples with two columns: samp.names and type

comps

number of components to be extracted, defualt = 5


KSheu/ksheu.library1 documentation built on Jan. 28, 2025, 3:26 p.m.