A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://www.bioconductor.org/packages/devel/bioc/html/../html/LPE.html below:

Bioconductor - LPE (development version)

LPE

This is the development version of LPE; for the stable release version, see LPE.

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

Bioconductor version: Development (3.22)

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.

Author: Nitin Jain <emailnitinjain at gmail.com>, Michael O'Connell <michaelo at warath.com>, Jae K. Lee <jaeklee at virginia.edu>. Includes R source code contributed by HyungJun Cho <hcho at virginia.edu>

Maintainer: Nitin Jain <emailnitinjain at gmail.com>

Citation (from within R, enter citation("LPE")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("LPE")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("LPE")
LPE test for microarray data with small number of replicates PDF R Script Reference Manual PDF NEWS Text Details See More Suggests Linking To Enhances Depends On Me PLPE Imports Me Suggests Me ABarray Links To Me Build Report Build Report Package Archives

Follow Installation instructions to use this package in your R session.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4