A machine learning approach to predicting autism risk genes: Validation of known genes and discovery of new candidates
Ying Lin, Shiva Afshar, Anjali M. Rajadhyaksha, James B. Potash, Shizhong Han
This study uses machine learning to predict autism risk genes by integrating gene expression, constraint metrics, and variation features, identifying known and novel candidates.
Frontiers in Genetics · Sep 10, 2020Peer-reviewedGenetics