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.
Bioconductor version: Release (3.4)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("LINC")
HTML | R Script | LINC - Co-Expression Analysis of lincRNAs |
Reference Manual | ||
Text | NEWS |
biocViews | BiologicalQuestion, GeneExpression, GeneRegulation, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (0.5 years) |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | LINC_1.2.0.tar.gz |
Windows Binary | LINC_1.2.0.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | LINC_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/LINC/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/LINC/ |
Package Downloads Report | Download Stats |
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