A comprehensive analysis of ncRNA-mediated interactions reveals potential prognostic biomarkers in prostate adenocarcinoma

Guo, Li; Kang, Yihao; Xiong, Yiqi; Jia, Lin; Yan, Xiaoqiang; Xia, Daoliang; Yu, Jiafeng; Wang, Jun; Liang, Tingming

doi:10.1016/j.csbj.2022.07.020

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2023

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“…Since deep learning was proposed, it has been widely applied in computer vision, natural language processing, bioinformatics, and other fields [ 20 , 21 ]. Some researchers applied deep learning in the association prediction of lncRNA and diseases [ [22] , [23] , [24] , [25] ]. Inspired by the previous studies, we combined the PU learning strategy with deep learning algorithms to construct a neural network model based on two-step method in PU learning, COPTLDA.…”

Section: Theory and Calculationmentioning

confidence: 99%