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Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model.

Jiarui FengHeming ZhangFuhai Li
Published in: BMC bioinformatics (2021)
The proposed DeepSigSurvNet model can facilitate the understanding of the implications of signaling pathways on cancer patients' survival by integrating multi-omics data and clinical factors.
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