Reliable detection of short periodic gene expression time series profiles in DNA microarray data

Alan Wee-Chung Liew; Hong Yan

doi:10.1109/ICSMC.2009.5346812

Reliable detection of short periodic gene expression time series profiles in DNA microarray data

Alan Wee-Chung Liew
, Hong Yan

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

Many cellular processes exhibit cyclic behaviors. Hence, one important task in gene expression data analysis is to detect subset of genes that exhibit periodicity in their gene expression time series profiles. Unfortunately, gene expression time series profiles are usually of very short length, with very few periods, unevenly sampled, and are highly contaminated with noise. This makes detection of periodic profiles a very challenging problem. In this paper, we present several effective computational techniques developed recently in our research group for the reliable detection of short periodic gene expression time series profiles. ©2009 IEEE.

Original language	English
Title of host publication	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Pages	4274-4279
DOIs	https://doi.org/10.1109/ICSMC.2009.5346812
Publication status	Published - 2009
Event	2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, United States Duration: 11 Oct 2009 → 14 Oct 2009 https://ieeexplore.ieee.org/xpl/conhome/5340904/proceeding

Publication series

Name
ISSN (Print)	1062-922X

Conference

Conference	2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Place	United States
City	San Antonio
Period	11/10/09 → 14/10/09
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5340904/proceeding

Research Keywords

Fisher statistical test
Periodic gene expression profile
Short time series
Signal reconstruction
Spectrum estimation

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10.1109/ICSMC.2009.5346812

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title = "Reliable detection of short periodic gene expression time series profiles in DNA microarray data",

abstract = "Many cellular processes exhibit cyclic behaviors. Hence, one important task in gene expression data analysis is to detect subset of genes that exhibit periodicity in their gene expression time series profiles. Unfortunately, gene expression time series profiles are usually of very short length, with very few periods, unevenly sampled, and are highly contaminated with noise. This makes detection of periodic profiles a very challenging problem. In this paper, we present several effective computational techniques developed recently in our research group for the reliable detection of short periodic gene expression time series profiles. {\textcopyright}2009 IEEE.",

keywords = "Fisher statistical test, Periodic gene expression profile, Short time series, Signal reconstruction, Spectrum estimation",

author = "Liew, \{Alan Wee-Chung\} and Hong Yan",

year = "2009",

doi = "10.1109/ICSMC.2009.5346812",

language = "English",

isbn = "9781424427949",

pages = "4274--4279",

booktitle = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

note = "2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 ; Conference date: 11-10-2009 Through 14-10-2009",

url = "https://ieeexplore.ieee.org/xpl/conhome/5340904/proceeding",

}

Liew, AW-C & Yan, H 2009, Reliable detection of short periodic gene expression time series profiles in DNA microarray data. in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics., 5346812, pp. 4274-4279, 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009, San Antonio, Texas, United States, 11/10/09. https://doi.org/10.1109/ICSMC.2009.5346812

Reliable detection of short periodic gene expression time series profiles in DNA microarray data. / Liew, Alan Wee-Chung; Yan, Hong.
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2009. p. 4274-4279 5346812.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Reliable detection of short periodic gene expression time series profiles in DNA microarray data

AU - Liew, Alan Wee-Chung

AU - Yan, Hong

PY - 2009

Y1 - 2009

N2 - Many cellular processes exhibit cyclic behaviors. Hence, one important task in gene expression data analysis is to detect subset of genes that exhibit periodicity in their gene expression time series profiles. Unfortunately, gene expression time series profiles are usually of very short length, with very few periods, unevenly sampled, and are highly contaminated with noise. This makes detection of periodic profiles a very challenging problem. In this paper, we present several effective computational techniques developed recently in our research group for the reliable detection of short periodic gene expression time series profiles. ©2009 IEEE.

AB - Many cellular processes exhibit cyclic behaviors. Hence, one important task in gene expression data analysis is to detect subset of genes that exhibit periodicity in their gene expression time series profiles. Unfortunately, gene expression time series profiles are usually of very short length, with very few periods, unevenly sampled, and are highly contaminated with noise. This makes detection of periodic profiles a very challenging problem. In this paper, we present several effective computational techniques developed recently in our research group for the reliable detection of short periodic gene expression time series profiles. ©2009 IEEE.

KW - Fisher statistical test

KW - Periodic gene expression profile

KW - Short time series

KW - Signal reconstruction

KW - Spectrum estimation

UR - https://www.scopus.com/pages/publications/74849106159

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-74849106159&origin=recordpage

U2 - 10.1109/ICSMC.2009.5346812

DO - 10.1109/ICSMC.2009.5346812

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424427949

SP - 4274

EP - 4279

BT - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

T2 - 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009

Y2 - 11 October 2009 through 14 October 2009

ER -

Reliable detection of short periodic gene expression time series profiles in DNA microarray data

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