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 <ohuovila at gmail.com> and Leo Lahti <leo.lahti at iki.fi>
Maintainer: Olli-Pekka Huovilainen <ohuovila at gmail.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("pint")
To cite this package in a publication, start R and enter:
citation("pint")
Documentation
| 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 |
| Since | Bioconductor 2.6 (R-2.11) |
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 |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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