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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.
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Version
Version
1.0.2.1
1.0.2
1.0.1
Install
install.packages('lpc')
Monthly Downloads
233
Version
1.0.2.1
License
GPL (>= 2)
Maintainer
Daniela Witten
Last Published
January 4th, 2019
Functions in lpc (1.0.2.1)
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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
