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PMID: 25421963 Published · epublish English Journal Article Research Support, N.I.H., Extramural Review

Survival analysis tools in genomics research.

Human genomics ·Vol. 8 ·2014-11-25 ·Pages 21

Chen X, Sun X, Hoshida Y

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.

MeSH Terms
Biomedical Research Databases, Factual Databases, Genetic Gene Expression Profiling Genetic Association Studies/methods Genetic Markers Genomics/methods Humans Neoplasms/genetics,pathology Software Survival Analysis
Chemicals
Genetic Markers
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Chen Xintong
Liver Cancer Program, Tisch Cancer Institute, Division of Liver Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Box 1123, New York, NY, 10029, USA. [email protected].
Sun Xiaochen
Liver Cancer Program, Tisch Cancer Institute, Division of Liver Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Box 1123, New York, NY, 10029, USA. [email protected].
Hoshida Yujin
Liver Cancer Program, Tisch Cancer Institute, Division of Liver Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Box 1123, New York, NY, 10029, USA. [email protected].
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Article Info
Journal
Human genomics
Abbr.
Hum Genomics
ISSN
1479-7364
DOI
10.1186/s40246-014-0021-z
Email
[email protected]
[email protected]
[email protected]
Published
2014-11-25
Epub
2014-00-25
Pages
21
Language
English
Region
England
NLM ID
101202210
PMCID
PMC4246473
Subset
IM
Grants
NIDDK NIH HHS · R01 DK099558 · United States
External Links
PubMed source DOI: 10.1186/s40246-014-0021-z PMC Full Text View journal details
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