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

Fingerprint

Gait Analysis
Gene Expression Analysis
Survival Analysis
Gene expression
Gene Expression
Interval
Software
Multivariate Analysis
Biomedical Applications
Software Tools
Data analysis
Simulation Study
Range of data

ASJC Scopus subject areas

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

Cite this

GAIT : Gene expression Analysis for Interval Time. / Kim, Yoojoong; Kang, Yeong Seon; Seok, Junhee.

In: Bioinformatics, Vol. 34, No. 13, 01.07.2018, p. 2305-2307.

Research output: Contribution to journalArticle

Kim, Yoojoong ; Kang, Yeong Seon ; Seok, Junhee. / GAIT : Gene expression Analysis for Interval Time. In: Bioinformatics. 2018 ; Vol. 34, No. 13. pp. 2305-2307.
@article{313a224bb64f4a2db7e33bc70030a28d,
title = "GAIT: Gene expression Analysis for Interval Time",
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.",
author = "Yoojoong Kim and Kang, {Yeong Seon} and Junhee Seok",
year = "2018",
month = "7",
day = "1",
doi = "10.1093/bioinformatics/bty111",
language = "English",
volume = "34",
pages = "2305--2307",
journal = "Bioinformatics",
issn = "1367-4803",
publisher = "Oxford University Press",
number = "13",

}

TY - JOUR

T1 - GAIT

T2 - Gene expression Analysis for Interval Time

AU - Kim, Yoojoong

AU - Kang, Yeong Seon

AU - Seok, Junhee

PY - 2018/7/1

Y1 - 2018/7/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85050826800&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050826800&partnerID=8YFLogxK

U2 - 10.1093/bioinformatics/bty111

DO - 10.1093/bioinformatics/bty111

M3 - Article

C2 - 29509896

AN - SCOPUS:85050826800

VL - 34

SP - 2305

EP - 2307

JO - Bioinformatics

JF - Bioinformatics

SN - 1367-4803

IS - 13

ER -