Reliable Detection of Short Periodic Gene Expression Time Series Profiles in DNA Microarray Data
| File | Size | Format | |
|---|---|---|---|
| 61146_1.pdf | 296Kb | Adobe PDF | View |
| Title | Reliable Detection of Short Periodic Gene Expression Time Series Profiles in DNA Microarray Data |
|---|---|
| Author | Liew, Alan Wee-Chung; Yan, Hong |
| Publication Title | Proceedings 2009 IEEE International Conference on Systems, Man, and Cybernetics |
| Editor | WA Gruver, LO Hall, D Yeung, M Smith |
| Year Published | 2009 |
| Place of publication | USA |
| Publisher | IEEE |
| 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. |
| Peer Reviewed | Yes |
| Published | Yes |
| Alternative URI | http://dx.doi.org/10.1109/ICSMC.2009.5346812 |
| Copyright Statement | Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| ISBN | 978-1-4244-2794-9 |
| Conference name | SMC 2009 IEEE International Conference on Systems, Man, and Cybernetics |
| Location | San Antonio, Texas, USA |
| Date From | 2009-10-11 |
| Date To | 2009-10-14 |
| URI | http://hdl.handle.net/10072/30013 |
| Date Accessioned | 2010-03-05 |
| Date Available | 2010-06-03T09:26:24Z |
| Language | en_AU |
| Research Centre | Institute for Integrated and Intelligent Systems |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | Gene Expression (incl Microarray and other genome-wide approaches); Pattern Recognition and Data Mining |
| Publication Type | Conference Publications (Full Written Paper - Refereed) |
| Publication Type Code | e1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/30013
Griffith University copyright notice
Copyright in individual works within the repository belongs to their authors or publishers. You may make a print or digital copy of a work for your personal non-commercial use. All other rights are reserved, except for fair dealings or other user rights granted by the copyright laws of your country.
Back to top