Article

Autophagy dark genes: Can we find them with machine learning?

2023-05-01

Abstract excerpt

Identifying novel autophagy (ATG) associated genes in humans remains an important task for understanding this fundamental physiological process. Machine learning (ML) can highlight potentially “missing pieces” linking core ATG genes with understudied, “dark” genes by mining functional genomic data. Here, a set of 103 (out of 288 genes from the Autophagy Database) was used as training set, based on ATG-associated t...

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Literature Corpus work: 1dc97973-955d-516a-9e73-68b260831e6c
DOI: 10.1002/ntls.20220067

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