Article

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

2020-04-14

Abstract excerpt

Survival analysis and prediction are important in cancer studies. In addition to the Cox proportional hazards model, recently deep learning models have been proposed to integrate the multi-omics data for survival prediction. Cancer signaling pathways are important and interpretable concepts that define the signaling cascades regulating cancer development and drug resistance. Thus, it is interesting and important t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7a0868ef-0d92-592d-a7bb-177b37f01148
DOI: 10.1101/2020.04.13.039487

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Investigate the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning modelDOI 10.1101/2020.04.13.039487Read

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

AUTOSurv: Interpretable Deep Learning Framework for Cancer Survival Analysis Incorporating Clinical and Multi-omics DataSemantic proximity Read

PathExpSurv: Pathway Expansion for Explainable Survival Analysis and Disease Gene DiscoverySemantic proximity Read

Path2Surv: Pathway/gene set-based survival analysis using multiple kernel learningSemantic proximity Read

Learning to Train and to Explain a Deep Survival Model with Large-Scale Ovarian Cancer Transcriptomic DataSemantic proximity Read

A comprehensive overview of oncogenic pathways in human cancerSemantic proximity Read

DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics dataSemantic proximity Read

Revealing the impact of genomic alterations on cancer cell signaling with a partially transparent deep learning modelSemantic proximity Read

Identification of important genes and drug repurposing based on clinical-centered analysis across human cancers.Semantic proximity Read

Common pathways and functional profiles reveal underlying patterns in Breast, Kidney and Lung cancersSemantic proximity Read

Signaling Pathway Activities Improve Prognosis for Breast CancerSemantic proximity Read

The impacts of differential expression of transcription factors on the survival of TCGA cancer patientsSemantic proximity Read