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Article

Deep learning prediction of attention-deficit hyperactivity disorder in African Americans by copy number variation.

Experimental biology and medicine (Maywood, N.J.) - 1 Nov 2021

Liu Yichuan, Qu Hui-Qi, Chang Xiao, Nguyen Kenny, Qu Jingchun, Tian Lifeng, Glessner Joseph, Sleiman Patrick Ma, Hakonarson Hakon

Abstract excerpt

Current understanding of the underlying molecular network and mechanism for attention-deficit hyperactivity disorder (ADHD) is lacking and incomplete. Previous studies suggest that genomic structural variations play an important role in the pathogenesis of ADHD. For effective modeling, deep learning approaches have become a method of choice, with ability to predict the impact of genetic variations involving...

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Share to Attention Deficit Disorder with Hyperactivity
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 34233526
DOI: 10.1177/15353702211018970
PMCID: PMC8581823

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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