Forecasting risk gene discovery in autism with machine learning and genome-scale data
Forecasting risk gene discovery in autism with machine learning and genome-scale data
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Publisher
London: Nature Publishing Group UK
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English
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Publisher
London: Nature Publishing Group UK
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Contents
Genetics has been one of the most powerful windows into the biology of autism spectrum disorder (ASD). It is estimated that a thousand or more genes may confer risk for ASD when functionally perturbed, however, only around 100 genes currently have sufficient evidence to be considered true “autism risk genes”. Massive genetic studies are currently u...
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Forecasting risk gene discovery in autism with machine learning and genome-scale data
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7067874
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7067874
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-61288-5
