Survival analysis tools in genomics research

Xintong Chen, Xiaochen Sun, Yujin Hoshida

Research output: Contribution to journalReview article

5 Citations (Scopus)

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 - Jan 1 2014
Externally publishedYes

Fingerprint

Survival Analysis
Genomics
Research
Biomedical Research
Software
Biomarkers
Genome
Databases
Therapeutics

Keywords

  • Genomic database
  • Software
  • Survival analysis
  • Web application

ASJC Scopus subject areas

  • Molecular Medicine
  • Molecular Biology
  • Genetics
  • Drug Discovery

Cite this

Survival analysis tools in genomics research. / Chen, Xintong; Sun, Xiaochen; Hoshida, Yujin.

In: Human Genomics, Vol. 8, No. 1, 21, 01.01.2014.

Research output: Contribution to journalReview article

Chen, Xintong ; Sun, Xiaochen ; Hoshida, Yujin. / Survival analysis tools in genomics research. In: Human Genomics. 2014 ; Vol. 8, No. 1.
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