GAIT: Gene expression Analysis for Interval Time

Yoojoong Kim, Yeong Seon Kang, Junhee Seok

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Motivation: Despite the potential usefulness, the association analysis of gene expression with interval times of two events has been hampered because the occurrence of events can be censored and the conventional survival analysis is not suitable to handle two censored events. However, the recent advances of multivariate survival analysis considering multiple censored events together provide an unprecedented chance for this problem. Based on such advances, we have developed a software tool, GAIT, for the association analysis of gene expression with interval time of two events. Results: The performance of GAIT was demonstrated by simulation studies and the real data analysis. The result indicates the usefulness of GAIT in a wide range of biomedical applications.

Original languageEnglish
Pages (from-to)2305-2307
Number of pages3
JournalBioinformatics
Volume34
Issue number13
DOIs
Publication statusPublished - 2018 Jul 1

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Fingerprint Dive into the research topics of 'GAIT: Gene expression Analysis for Interval Time'. Together they form a unique fingerprint.

  • Cite this