Convolutional neural network model to predict causal risk factors that share complex regulatory features
Taeyeop Lee, Min Kyung Sung, Seulkee Lee, Woojin Yang, Jaeho Oh, Jeong Yeon Kim, Seongwon Hwang, Hyo‐Jeong Ban, Jung Kyoon Choi
The paper develops a convolutional neural network to predict causal noncoding variants with regulatory function in GWAS data, identifying variants in active regulatory regions and associated genes for psychiatric and autoimmune diseases.
Nucleic Acids Research · Oct 1, 2019Peer-reviewedGenetics