Back to search

Article

Continuous Biomarker Assessment by Exhaustive Survival Analysis

2017-10-25

Abstract excerpt

Publicly available high-throughput molecular data can enable biomarker identification and evaluation in a meta-analysis. However, a continuous biomarker’s underlying distribution and/or potential confounding factors associated with outcome will inevitably vary between cohorts and is often ignored. The survivALL R package ( https://CRAN.R-project.org/package=survivALL ) allows researchers to generate visual and n...

Topics

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

Identifiers and source

Literature Corpus work
6f42486a-fec5-58e8-847b-b2820aec45ef
DOI
10.1101/208660
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Continuous Biomarker Assessment by Exhaustive Survival AnalysisDOI 10.1101/208660
On representing the prognostic value of continuous gene expression biomarkers with the restricted mean survival curveSemantic proximity
SurvivalML: an integrative platform for the discovery and exploration of prognostic models in multi-center cancer cohortsSemantic proximity
MortalityPredictors.org: a manually-curated database of published biomarkers of human all-cause mortality.Semantic proximity
Survival Genie, a web platform for survival analysis across pediatric and adult cancersSemantic proximity
Survival analysis across the entire transcriptome identifies biomarkers with the highest prognostic power in breast cancerSemantic proximity
Survival Prediction Landscape: An In-Depth Systematic Literature Review on Activities, Methods, Tools, Diseases, and DatabasesSemantic proximity
A Unified Framework for Survival Prediction: Combining Machine Learning Feature Selection with Traditional Survival Analysis in Heart Failure and METABRIC Breast CancerSemantic proximity
Survival Genie, a web platform for survival analysis across pediatric and adult cancers.Semantic proximity
A software package for simple and rigorous survival machine learning analysis in biomedical researchSemantic proximity
Research issues and strategies for genomic and proteomic biomarker discovery and validation: a statistical perspective.Semantic proximity
Subnetwork-based prognostic biomarkers exhibit performance and robustness superior to gene-based biomarkers in breast cancerSemantic proximity
Statistical and practical considerations for clinical evaluation of predictive biomarkers.Semantic proximity
Select a neighboring publication to make it the new centre.