Published in Nature Neuroscience · View the paper (DOI)
A team of Princeton researchers has developed a machine-learning approach that analyzes the entire human genome to predict which genes may cause autism spectrum disorder. By identifying 2,500 potential autism genes, this new method provides a significant breakthrough in understanding the genetic basis of autism.
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