GAIT: Gene expression Analysis for Interval Time

Yoojoong Kim; Yeong Seon Kang; Junhee Seok

doi:10.1093/bioinformatics/bty111

GAIT: Gene expression Analysis for Interval Time

Yoojoong Kim, Yeong Seon Kang, Junhee Seok

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (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 language	English
Pages (from-to)	2305-2307
Number of pages	3
Journal	Bioinformatics
Volume	34
Issue number	13
DOIs	https://doi.org/10.1093/bioinformatics/bty111
Publication status	Published - 2018 Jul 1

Bibliographical note

Funding Information:
This work has been supported by the grant from National Research Foundation of Korea funded by Korea government (NRF-2017R1C1B2002850).

Publisher Copyright:
© The Author(s) 2018. Published by Oxford University Press. All rights reserved.

ASJC Scopus subject areas

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

Access to Document

10.1093/bioinformatics/bty111

Cite this

@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",

note = "Funding Information: This work has been supported by the grant from National Research Foundation of Korea funded by Korea government (NRF-2017R1C1B2002850). Publisher Copyright: {\textcopyright} The Author(s) 2018. Published by Oxford University Press. All rights reserved.",

year = "2018",

month = jul,

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

N1 - Funding Information: This work has been supported by the grant from National Research Foundation of Korea funded by Korea government (NRF-2017R1C1B2002850). Publisher Copyright: © The Author(s) 2018. Published by Oxford University Press. All rights reserved.

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

U2 - 10.1093/bioinformatics/bty111

DO - 10.1093/bioinformatics/bty111

M3 - Article

C2 - 29509896

AN - SCOPUS:85050826800

SN - 1367-4803

VL - 34

SP - 2305

EP - 2307

JO - Bioinformatics

JF - Bioinformatics

IS - 13

ER -

GAIT: Gene expression Analysis for Interval Time

Abstract

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this