A machine learning approach to predicting autism risk genes: validation of known genes and discovery of new candidates

HIGHLIGHTS

  • who: Anjali M. Rajadhyaksha and Shizhong Han from the Department of Industrial Engineering, University of Houston, Houston, TX, United States, Division of Pediatric Neurology have published the research: A Machine Learning Approach to Predicting Autism Risk Genes: Validation of Known Genes and Discovery of New Candidates, in the Journal: (JOURNAL)
  • what: The aim of this study was to employ a machine_learning-based approach to predict ASD risk genes using human brain spatiotemporal gene_expression signatures, gene-level constraint metrics, and other gene variation features. Genes the authors focused on those that had both gene_expression data from . . .

     

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