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Organ-specific prioritization and annotation of non-coding regulatory variants in the human genome

2023-09-08

Abstract excerpt

Identifying non-coding regulatory variants in the human genome remains a challenging task in genomics. Recently, we released the second version of our leading regulatory variant database, RegulomeDB. Building upon this comprehensive database, we developed a novel machine-learning architecture, TLand, which utilizes RegulomeDB-derived features to predict regulatory variants at the cell- or organ-specific level. In...

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Literature Corpus work
55573f21-b4a8-559c-a12b-bf725fd5cc85
DOI
10.1101/2023.09.07.556700
Open publication

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Organ-specific prioritization and annotation of non-coding regulatory variants in the human genomeDOI 10.1101/2023.09.07.556700
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