iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes

iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes

Abstract Background A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematically prioritize both variants and genes that confer susceptibility to me...

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Bibliographic Details
Main Authors: Atlas Khan, Qian Liu, Kai Wang
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Structural variants (SVs)
Single nucleotide variants (SNVs)
Machine learning
Deep neural network
Mental disorders
Personal genome
Online Access:http://link.springer.com/article/10.1186/s12859-018-2469-7

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http://link.springer.com/article/10.1186/s12859-018-2469-7

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