Survival analysis tools in genomics research

Xintong Chen, Xiaochen Sun, Yujin Hoshida

Research output: Contribution to journalReview articlepeer-review

8 Scopus citations

Abstract

There is an increasing demand to determine the clinical implication of experimental findings in molecular biomedical research. Survival (or failure time) analysis methodologies have been adapted to the analysis of genomics data to link molecular information with clinical outcomes of interest. Genome-wide molecular profiles have served as sources for discovery of predictive/prognostic biomarkers as well as therapeutic targets in the past decade. In this review, we overview currently available software, web applications, and databases specifically developed for survival analysis in genomics research and discuss issues in assessing clinical utility of molecular features derived from genomic profiling.

Original languageEnglish (US)
Article number21
JournalHuman Genomics
Volume8
Issue number1
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • Genomic database
  • Software
  • Survival analysis
  • Web application

ASJC Scopus subject areas

  • Molecular Medicine
  • Molecular Biology
  • Genetics
  • Drug Discovery

Fingerprint Dive into the research topics of 'Survival analysis tools in genomics research'. Together they form a unique fingerprint.

Cite this