A Machine Learning Approach to Predicting Autism Risk Genes: Validation of Known Genes and Discovery of New Candidates

A Machine Learning Approach to Predicting Autism Risk Genes: Validation of Known Genes and Discovery of New Candidates

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with a strong genetic basis. The role of de novo mutations in ASD has been well established, but the set of genes implicated to date is still far from complete. The current study employs a machine learning-based approach to pre...

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Bibliographic Details
Main Authors: Ying Lin, Shiva Afshar, Anjali M. Rajadhyaksha, James B. Potash, Shizhong Han
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Genetics
Subjects:
autism
de novo mutation
gene expression
constraint
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.500064/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2020.500064/full

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