pint

Pairwise INTegration of functional genomics data

Bioconductor version: 2.6

Probabilistic dependency modeling toolbox. Implementations for probabilistic PCA, factor analysis, and CCA models and their applications to dependency modeling. Particular tools for investigating the dependencies between 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

depsearch.pdf

Reference Manual

Details

biocViews	aCGH, GeneExpression, Genetics, DifferentialExpression, Microarray
Depends	mvtnorm, methods, graphics
Imports
Suggests
System Requirements
License	GPL (>= 2)
URL
Depends On Me
Imports Me
Suggests Me
Version	1.0.0

Package Downloads

Package Source	pint_1.0.0.tar.gz
Windows Binary	pint_1.0.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	pint_1.0.0.tgz
Package Downloads Report	Download Stats