Package: GeneExpressionSignature 1.51.0

Yang Cao

GeneExpressionSignature: Gene Expression Signature based Similarity Metric

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.

Authors:Yang Cao [aut, cre], Fei Li [ctb], Lu Han [ctb]

GeneExpressionSignature_1.51.0.tar.gz
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GeneExpressionSignature_1.51.0.tgz(r-4.4-any)GeneExpressionSignature_1.51.0.tgz(r-4.3-any)
GeneExpressionSignature_1.51.0.tar.gz(r-4.5-noble)GeneExpressionSignature_1.51.0.tar.gz(r-4.4-noble)
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GeneExpressionSignature.pdf |GeneExpressionSignature.html
GeneExpressionSignature/json (API)
NEWS

# Install 'GeneExpressionSignature' in R:
install.packages('GeneExpressionSignature', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/yiluheihei/geneexpressionsignature/issues

Datasets:

On BioConductor:GeneExpressionSignature-1.51.0(bioc 3.20)GeneExpressionSignature-1.50.0(bioc 3.19)

bioconductor-package

5 exports 0.91 score 2 dependencies 2 mentions

Last updated 2 months agofrom:4c92dca166

Exports:getRLsRankMergingScoreGSEAScorePGSEASignatureDistance

Dependencies:BiobaseBiocGenerics

GeneExpressionSignature: Computing pairwise distances between different biological states

Rendered fromGeneExpressionSignature.Rmdusingknitr::rmarkdownon Jun 24 2024.

Last update: 2020-12-17
Started: 2020-12-17