PrinComp_cpp: Principal component analysis

In IMB-Computational-Genomics-Lab/scGPS: A complete analysis of single cell subpopulations, from identifying subpopulations to analysing their relationship (scGPS = single cell Global Predictions of Subpopulation)

Description

This function provides significant speed gain if the input matrix is big

Usage

PrinComp_cpp(X)

Arguments

X	an R matrix (expression matrix), rows are genes, columns are cells

Value

a list with three list pca lists

Examples

mat_test <-matrix(rnbinom(1000000,mu=0.01, size=10),nrow=1000)
#library(microbenchmark)
#microbenchmark(PrinComp_cpp(mat_test), prcomp(mat_test), times=3)

IMB-Computational-Genomics-Lab/scGPS documentation built on Dec. 6, 2020, 3:20 p.m.