Identification of mortality-risk-related missense variant for renal clear cell carcinoma using deep learning.

Jin-Bor ChenHuai-Shuo YangSin-Hua MoiLi-Yeh ChuangCheng-Hong Yang

Published in: Therapeutic advances in chronic disease (2021)

The results proved that the improved DeepSurv model effectively classified mortality-related high-risk variants and identified the candidate genes. In the context of KIRCC overall mortality, the proposed model effectively recognized mortality-related high-risk variants for KIRCC.

Keyphrases

deep learning
cardiovascular events
risk factors
copy number
type diabetes
cardiovascular disease
clear cell
gene expression
coronary artery disease
dna methylation
intellectual disability
artificial intelligence
convolutional neural network