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GeneWalk identifies relevant gene functions for a biological context using network representation learning
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) t...
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| Pubblicato in: | Genome Biol |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7852222/ https://ncbi.nlm.nih.gov/pubmed/33526072 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-021-02264-8 |
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