Work

GSDA: Gene Set Distance Analysis (GSDA)

Year: 2021

Type: dataset

Abstract: The gene-set distance analysis of omic data is implemented by generalizing distance correlations to evaluate the association of a gene set with categorical and censored event-time variables.Depends R (>= 3.5.0),msigdbr

DOI: 10.32614/cran.package.gsda

Authors: Xueyuan Cao, Stanley Pounds

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

OpenAlex ID: W4399524319

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