Bioconductor version: Release (2.11)
This package gives the implementations of the gene expression signature and its distance to each. Gene expression signature is represented as a list of genes whose expression is correlated with a biological state of interest. And its distance is defined using a nonparametric, rank-based pattern-matching strategy based on the Kolmogorov-Smirnov statistic. Gene expression signature and its distance can be used to detect similarities among the signatures of drugs, diseases, and biological states of interest.
Author: Yang Cao
Maintainer: Yang Cao <yiluheihei at gmail.com>, Fei Li <pittacus at gmail.com>,Lu Han <hanl8910 at gmail.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GeneExpressionSignature")
To cite this package in a publication, start R and enter:
citation("GeneExpressionSignature")
| GeneExpressionSignature | ||
| Reference Manual |
| biocViews | Bioinformatics, GeneExpression, Software |
| Version | 1.4.0 |
| In Bioconductor since | BioC 2.9 (R-2.14) |
| License | GPL-2 |
| Depends | R (>= 2.13), Biobase, PGSEA |
| Imports | |
| Suggests | apcluster,GEOquery |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
| Package Source | GeneExpressionSignature_1.4.0.tar.gz |
| Windows Binary | GeneExpressionSignature_1.4.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) | GeneExpressionSignature_1.4.0.tgz |
| Package Downloads Report | Download Stats |
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