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Article

Combining artificial intelligence: deep learning with Hi-C data to predict the functional effects of non-coding variants.

Bioinformatics (Oxford, England) - 16 Jun 2021

Meng Xiang-He, Xiao Hong-Mei, Deng Hong-Wen

Abstract excerpt

MOTIVATION: Although genome-wide association studies (GWASs) have identified thousands of variants for various traits, the causal variants and the mechanisms underlying the significant loci are largely unknown. In this study, we aim to predict non-coding variants that may functionally affect translation initiation through long-range chromatin interaction. RESULTS: By incorporating the Hi-C data, we propose a...

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Identifiers

PMID: 33196774
DOI: 10.1093/bioinformatics/btaa970
PMCID: PMC8208740

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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