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

Abstract excerpt

BACKGROUND: Survival analysis is an important part of cancer studies. In addition to the existing Cox proportional hazards model, deep learning models have recently been proposed in survival prediction, which directly integrates multi-omics data of a large number of genes using the fully connected dense deep neural network layers, which are hard to interpret. On the other hand, cancer signaling pathways are...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Bioinformatics and Genomic Networks
• Share to Ferroptosis and cancer prognosis
• Share to Radiomics and Machine Learning in Medical Imaging