To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("LINC")

In most cases, you don't need to download the package archive at all.

LINC

 

co-expression of lincRNAs and protein-coding genes

Bioconductor version: Release (3.5)

This package provides methods to compute co-expression networks of lincRNAs and protein-coding genes. Biological terms associated with the sets of protein-coding genes predict the biological contexts of lincRNAs according to the 'Guilty by Association' approach.

Author: Manuel Goepferich, Carl Herrmann

Maintainer: Manuel Goepferich <manuel.goepferich at gmx.de>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("LINC")

Documentation

HTML R Script LINC - Co-Expression Analysis of lincRNAs
PDF   Reference Manual
Text   NEWS

Details

biocViews BiologicalQuestion, GeneExpression, GeneRegulation, Software
Version 1.4.0
In Bioconductor since BioC 3.4 (R-3.3) (1 year)
License Artistic-2.0
Depends R (>= 3.3.1), methods, stats
Imports Rcpp (>= 0.11.0), DOSE, ggtree, gridExtra, ape, grid, png, Biobase, sva, reshape2, utils, grDevices, org.Hs.eg.db, clusterProfiler, ggplot2, ReactomePA
LinkingTo Rcpp
Suggests RUnit, BiocGenerics, knitr, biomaRt
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source LINC_1.4.0.tar.gz
Windows Binary LINC_1.4.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) LINC_1.4.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/LINC/tree/release-3.5
Package Short Url http://bioconductor.org/packages/LINC/
Package Downloads Report Download Stats

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