Package: LPE 1.87.0

Nitin Jain

LPE: Methods for analyzing microarray data using Local Pooled Error (LPE) method

This LPE library is used to do significance analysis of microarray data with small number of replicates. It uses resampling based FDR adjustment, and gives less conservative results than traditional 'BH' or 'BY' procedures. Data accepted is raw data in txt format from MAS4, MAS5 or dChip. Data can also be supplied after normalization. LPE library is primarily used for analyzing data between two conditions. To use it for paired data, see LPEP library. For using LPE in multiple conditions, use HEM library.

Authors:Nitin Jain <[email protected]>, Michael O'Connell <[email protected]>, Jae K. Lee <[email protected]>. Includes R source code contributed by HyungJun Cho <[email protected]>

LPE_1.87.0.tar.gz
LPE_1.87.0.zip(r-4.7)LPE_1.87.0.zip(r-4.6)LPE_1.87.0.zip(r-4.5)
LPE_1.87.0.tgz(r-4.6-any)LPE_1.87.0.tgz(r-4.5-any)
LPE_1.87.0.tar.gz(r-4.7-any)LPE_1.87.0.tar.gz(r-4.6-any)
LPE_1.87.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LPE/json (API)
NEWS

# Install 'LPE' in R:
install.packages('LPE', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Ley - Gene Expression Data from Mouse Immune response study,

On BioConductor:LPE-1.87.0(bioc 3.24)LPE-1.86.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

microarraydifferentialexpression

4.69 score 1 packages 27 scripts 436 downloads 3 mentions 16 exports 0 dependencies

Last updated from:6513337d22. Checks:1 ERROR, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR127
linux-devel-x86_64OK156
source / vignettesOK155
linux-release-x86_64OK165
macos-release-arm64OK73
macos-oldrel-arm64OK78
windows-develOK70
windows-releaseOK80
windows-oldrelOK66
wasm-releaseOK81

Exports:am.transbaseOlig.errorbaseOlig.error.step1baseOlig.error.step2fdr.adjustfixbounds.predict.smooth.splineiqrlowess.normalizelpemt.rawp2adjp.LPEn.genes.adaptive.intpermutepreprocessquan.normquartile.normalizeresamp.adj

Dependencies:

LPE test for microarray data with small number of replicates

Rendered fromLPE.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2013-11-01
Started: 2013-11-01