Gene Expression Signature based Similarity Metric

Bioconductor version: 2.10

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 <amms.yang.cao at>, Fei Li <pittacus at>

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PDF R Script GeneExpressionSignature
PDF   Reference Manual


biocViews Bioinformatics, GeneExpression, Software
Depends Biobase
System Requirements
License GPL-2
Depends On Me
Imports Me
Suggests Me
Version 1.2.0
Since Bioconductor 2.9 (R-2.14)

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Package Source GeneExpressionSignature_1.2.0.tar.gz
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