Article

Pathway-Structured Predictive Model for Cancer Survival Prediction: A Two-Stage Approach

2016-03-15

Abstract excerpt

Heterogeneity in terms of tumor characteristics, prognosis, and survival among cancer patients has been a persistent problem for many decades. Currently, prognosis and outcome predictions are made based on clinical factors and/or by incorporating molecular profiling data. However, inaccurate prognosis and prediction may result by using only clinical or molecular information directly. One of the main shortcomings o...

Topics

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

Identifiers and source

Literature Corpus work: dda37e16-1ca1-5d74-b561-a4762eb16879
DOI: 10.1101/043661

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Pathway-Structured Predictive Model for Cancer Survival Prediction: A Two-Stage ApproachDOI 10.1101/043661Read

Pathway-Structured Predictive Model for Cancer Survival Prediction: A Two-Stage ApproachSemantic proximity Read

Pathway-based machine learning for breast cancer risk stratification: an interpretable framework validated in two independent cohortsSemantic proximity Read

Comparison of pathway and gene-level models for cancer prognosis predictionSemantic proximity Read

Detection of gene pathways with predictive power for breast cancer prognosis.Semantic proximity Read

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

Pathway-based classification of cancer subtypesSemantic proximity Read

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

Signaling Pathway Activities Improve Prognosis for Breast CancerSemantic proximity Read

Screening and Identification of a Prognostic Model of Ovarian Cancer by Combination of Transcriptomic and Proteomic DataSemantic proximity Read

A pan-cancer analysis of prognostic genesSemantic proximity Read

GPS-Net: discovering prognostic pathway modules based on network regularized kernel learningSemantic proximity Read

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