Artificial intelligence detects a new class of mutations behind autism

Research led by Olga Troyanskaya, a Princeton professor of computer science and genomics, has led to a new method for searching the entire human genome for mutations that affect how genes are regulated and predicting how those mutations might be associated with diseases such as autism.

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