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

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.