Researchers use machine-learning approach to predict autism risk genes

Researchers use machine-learning approach to predict autism risk genes

Princeton University and Simons Foundation researchers have developed a machine-learning approach that for the first time analyzes the entire human genome to predict which genes may cause autism spectrum disorder, raising the number of genes that could be linked to the disorder from 65 to 2,500.

Princeton University and Simons Foundation researchers have developed a machine-learning approach that for the first time analyzes the entire human genome to predict which genes may cause autism spectrum disorder, raising the number of genes that could be linked to the disorder from 65 to 2,500.