Large-scale discovery of novel neurodevelopmental disorder-related genes through a unified analysis of single-nucleotide and copy number variants.
Hamanaka K, Miyake N, Mizuguchi T, Miyatake S, Uchiyama Y, Tsuchida N, Sekiguchi F, Mitsuhashi S, Tsurusaki Y, Nakashima M, Saitsu H, Yamada K, Sakamoto M, Fukuda H, Ohori S, Saida K, Itai T, Azuma Y, Koshimizu E, Fujita A, Erturk B, Hiraki Y, Ch'ng GS, Kato M, Okamoto N, Takata A, Matsumoto N.
Hamanaka K, et al.
Genome Med. 2022 Apr 26;14(1):40. doi: 10.1186/s13073-022-01042-w.
Genome Med. 2022.
PMID: 35468861
Free PMC article.
Quantifying the overall similarity using deep learning, we identified 11 high-confidence (> 90% true-positive probabilities) candidate genes: HDAC2, SUPT16H, HECTD4, CHD5, XPO1, GSK3B, NLGN2, ADGRB1, CTR9, BRD3, and MARK2. CONCLUSIONS: We identified dozens of new candid …
Quantifying the overall similarity using deep learning, we identified 11 high-confidence (> 90% true-positive probabilities) candidate ge …