pint

Pairwise INTegration of functional genomics data

Bioconductor version: Release (2.7)

Pairwise data integration for functional genomics. In particular, tools to screen functionally active chromosomal aberrations from paired copy number, gene expression and miRNA measurements from the same patients.

Author: Olli-Pekka Huovilainen and Leo Lahti

Maintainer: Olli-Pekka Huovilainen

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("pint")    

Documentation

PDF R Script pint

Reference Manual

Details

biocViews aCGH, GeneExpression, Genetics, DifferentialExpression, Microarray
Depends mvtnorm, methods, graphics, Matrix
Imports
Suggests
System Requirements
License FreeBSD
URL
Depends On Me
Imports Me
Suggests Me
Version 1.2.0

Package Downloads

Package Source pint_1.2.0.tar.gz
Windows Binary pint_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary pint_1.2.0.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:

 

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center