Pigengene

DOI: 10.18129/B9.bioc.Pigengene    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see Pigengene.

Infers biological signatures from gene expression data

Bioconductor version: 3.8

Pigengene package provides an efficient way to infer biological signatures from gene expression profiles. The signatures are independent from the underlying platform, e.g., the input can be microarray or RNA Seq data. It can even infer the signatures using data from one platform, and evaluate them on the other. Pigengene identifies the modules (clusters) of highly coexpressed genes using coexpression network analysis, summarizes the biological information of each module in an eigengene, learns a Bayesian network that models the probabilistic dependencies between modules, and builds a decision tree based on the expression of eigengenes.

Author: Habil Zare, Amir Foroushani, and Rupesh Agrahari

Maintainer: Habil Zare <zare at u.washington.edu>

Citation (from within R, enter citation("Pigengene")):

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Pigengene")

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("Pigengene")

 

PDF R Script Pigengene: Computing and using eigengenes
PDF   Reference Manual
Text   NEWS

Details

biocViews BiomedicalInformatics, Classification, Clustering, DecisionTree, DimensionReduction, GeneExpression, GraphAndNetwork, ImmunoOncology, Microarray, Network, NetworkInference, Normalization, PrincipalComponent, RNASeq, Software, SystemsBiology, Transcriptomics
Version 1.8.1
In Bioconductor since BioC 3.4 (R-3.3) (2.5 years)
License GPL (>=2)
Depends R (>= 3.3.0), graph
Imports bnlearn, C50 (>= 0.1.2), MASS, matrixStats, partykit, Rgraphviz, WGCNA, GO.db, impute, preprocessCore, grDevices, graphics, stats, utils, parallel, pheatmap (>= 1.0.8)
LinkingTo
Suggests org.Hs.eg.db, org.Mm.eg.db, biomaRt(>= 2.30.0), knitr, BiocStyle, AnnotationDbi, energy
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
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Build Report  

Package Archives

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

Source Package Pigengene_1.8.1.tar.gz
Windows Binary Pigengene_1.8.1.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) Pigengene_1.8.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/Pigengene
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Pigengene
Package Short Url http://bioconductor.org/packages/Pigengene/
Package Downloads Report Download Stats

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