Article

EssSubgraph improves performance and generalizability of mammalian essential gene prediction with large networks

2025-07-25

Abstract excerpt

Predicting essential genes is important for understanding the minimal genetic requirements of organisms, identifying disease-associated genes, and discovering potential drug targets. Wet-lab experiments for identifying essential genes are time-consuming and labor-intensive. Although various machine learning methods have been developed for essential gene prediction, both systematic testing with large collections of...

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Literature Corpus work: 42d483c2-58f6-57b4-a6d2-4f2965ec1dcc
DOI: 10.1101/2025.07.21.665218

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