Article

HELP: A computational framework for labelling and predicting human common and context-specific essential genes

2024-04-20

Abstract excerpt

Machine learning-based approaches are particularly suitable for identifying essential genes as they allow the generation of predictive models trained on features from multi-source data. Gene essentiality is neither binary nor static but determined by the context. The databases for essential gene annotation do not permit the personalisation of the context, and their update can be slower than the publication of new...

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Literature Corpus work: ce4e4065-ef12-52c2-8dc0-6f5135e14b13
DOI: 10.1101/2024.04.16.589691

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