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Harnessing deep learning into hidden mutations of neurological disorders for therapeutic challenges.

Archives of pharmacal research - 1 Jun 2023

Yang Sumin, Kim Sung-Hyun, Kang Mingon, Joo Jae-Yeol

Abstract excerpt

The relevant study of transcriptome-wide variations and neurological disorders in the evolved field of genomic data science is on the rise. Deep learning has been highlighted utilizing algorithms on massive amounts of data in a human-like manner, and is expected to predict the dependency or druggability of hidden mutations within the genome. Enormous mutational variants in coding and noncoding transcripts have...

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PMID: 37261600
DOI: 10.1007/s12272-023-01450-5

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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