GeneWalk identifies relevant gene functions for a biological context using network representation learning

GeneWalk identifies relevant gene functions for a biological context using network representation learning

Abstract 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/g...

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Bibliographic Details
Main Authors: Robert Ietswaart, Benjamin M. Gyori, John A. Bachman, Peter K. Sorger, L. Stirling Churchman
Format: Article
Language:English
Published: BMC 2021-02-01
Series:Genome Biology
Subjects:
GeneWalk
Functional analysis
Differential expression
Machine learning
Network representation learning
INDRA (Integrated Network and Dynamical Reasoning Assembler)
Online Access:https://doi.org/10.1186/s13059-021-02264-8

Internet

https://doi.org/10.1186/s13059-021-02264-8

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