Learn R Programming

lpc (version 1.0.2.1)

Lassoed Principal Components for Testing Significance of Features

Description

Implements the LPC method of Witten&Tibshirani(Annals of Applied Statistics 2008) for identification of significant genes in a microarray experiment.

Copy Link

Version

Install

install.packages('lpc')

Monthly Downloads

186

Version

1.0.2.1

License

GPL (>= 2)

Maintainer

Daniela Witten

Last Published

January 4th, 2019

Functions in lpc (1.0.2.1)

LPC

Compute LPC score for each gene
PlotFDRs

Plot FDRs for both T and LPC
EstimateLPCFDR

Estimate LPC False Discovery Rates.
EstimateTFDR

Estimate T False Discovery Rates.
lpc-internal

Internal lpc functions
lpc-package

This package implements the Lassoed Principal Components (LPC) method. It is used to compute LPC scores for each gene in a microrray experiment with a survival, quantitative, or two-class outcome.
PredictiveAdvantage

Plot predictive advantage of LPC vs. T
PrintGeneList

Print the list of genes with highest LPC scores