Bioconductor version: Development (2.8)
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")
R Script | pint |
biocViews | aCGH, GeneExpression, Genetics, DifferentialExpression, Microarray |
Depends | mvtnorm, methods, graphics, Matrix, dmt |
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System Requirements | |
License | FreeBSD |
URL | |
Depends On Me | |
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Version | 1.3.81 |
Package Source | pint_1.3.81.tar.gz |
Windows Binary | pint_1.3.81.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | pint_1.3.81.tgz |
Package Downloads Report | Download Stats |
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