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PheSeq, a Bayesian deep learning model to enhance and interpret the gene-disease association studies
Autor:
Xinzhi Yao, Sizhuo Ouyang, Yulong Lian, Qianqian Peng, Xionghui Zhou, Feier Huang, Xuehai Hu, Feng Shi, Jingbo Xia
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-26 (2024)
Abstract Despite the abundance of genotype-phenotype association studies, the resulting association outcomes often lack robustness and interpretations. To address these challenges, we introduce PheSeq, a Bayesian deep learning model that enhances and
Externí odkaz:
https://doaj.org/article/c8f981816f9e4572905aeda0fed724b8
