GeneWalk identifies relevant gene functions for a biological context using network representation le...
GeneWalk identifies relevant gene functions for a biological context using network representation learning
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
A bottleneck in high-throughput functional genomics experiments is identifying the most important genes and their relevant functions from a list of gene hits. Gene Ontology (GO) enrichment methods provide insight at the gene set level. Here, we introduce GeneWalk (
github.com/churchmanlab/genewalk
) that identifies individual genes and their...
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Full title
GeneWalk identifies relevant gene functions for a biological context using network representation learning
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TN_cdi_doaj_primary_oai_doaj_org_article_4ab24d5390b14e418f2e49741c57b10a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4ab24d5390b14e418f2e49741c57b10a
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ISSN
1474-760X,1474-7596
E-ISSN
1474-760X
DOI
10.1186/s13059-021-02264-8
