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Article

PONYTA: prioritization of phenotype-related genes from mouse KO events using PU learning on a biological network.

Bioinformatics (Oxford, England) - 1 Nov 2024

Kim Jun Hyeong, Koo Bonil, Kim Sun

Abstract excerpt

MOTIVATION: Transcriptome data from gene knock-out (KO) experiments in mice provide crucial insights into the intricate interactions between genotype and phenotype. Differentially expressed gene (DEG) analysis and network propagation (NP) are well-established methods for analysing transcriptome data. To determine genes related to phenotype changes from a KO experiment, we need to choose a cutoff value for the...

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PMID: 39432684
DOI: 10.1093/bioinformatics/btae634
PMCID: PMC11561041

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