Nature study uses machine learning to predict Autism genes

Although researchers estimate there are hundreds of Autism-linked genes, only a fraction have actually been identified with strong experimental evidence. Astudy published today in Nature aims to change this by using a big data and machine learning approach to make a genome-wide prediction of Autism spectrum disorder (ASD) genes. The first author of the study, Arjun Krishnan, told us how their results could help with the early diagnosis and treatment of ASD.RG: Could you briefly summarize your study?Arjun Krishnan: Autism spectrum disorder (ASD) has a strong genetic basis, but, currently, only about 65 autism genes out of an estimated 400-1000 have been found. Because of the how complex ASD is, sequencing or genetics studies alone are severely underpowered to uncover the genetic basis of autism. So, we decided to take…


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