Survival analysis tools in genomics research

Xintong Chen, Xiaochen Sun, Yujin Hoshida

Research output: Contribution to journalReview articlepeer-review

10 Scopus citations


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
Article number21
JournalHuman Genomics
Issue number1
StatePublished - 2014
Externally publishedYes


  • Genomic database
  • Software
  • Survival analysis
  • Web application


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