Scientists Predict Autism Using New Machine Learning

A new machine-learning approach could predict autism-causing genes in the human genome.(Photo : cherylt23 / Pixabay) A new machine-learning approach could predict autism-causing genes in the human genome. To predict genes that cause autism spectrum disorder (ASD), scientists from Princeton University and Simons Foundation have developed a big data and machine learning approach that maps the human gene network and shows how each gene is functionally related to one another. Advertisement “[The method] learns how known autism genes are connected to other genes in a gene network, and then uses these patterns to predict novel ASD genes,” Arjun Krishnan, associate researcher scholar at Princeton and first author of the study, said in an interview by ResearchGate. “The gene network we used represents how genes function together in cellular pathways in…


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