Analysis of Mouse Periodic Gene Expression Data Based on Singular Value Decomposition and Autoregressive Modeling
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| 67205_1.pdf | 740Kb | Adobe PDF | View |
| Title | Analysis of Mouse Periodic Gene Expression Data Based on Singular Value Decomposition and Autoregressive Modeling |
|---|---|
| Author | Tang, Tsz-Yan; Liew, Alan Wee-Chung; Yan, Hong |
| Publication Title | International MultiConference of Engineers and Computer Scientists 2010 |
| Editor | S. I. Ao, Oscar Castillo, Craig Douglas, David Dagan Feng, Jeong-A Lee |
| Year Published | 2010 |
| Place of publication | Hong Kong |
| Publisher | International Association of Engineers |
| Abstract | Each DNA microarray experiment generates a large amount of gene expression profiles and it remains a challenge for biologists to robustly identify periodic gene expression profiles with certain noise level in the data. In this paper, we propose a new scheme with noise filtering technique to analyze the periodicity of gene expression base on singular value decomposition (SVD), singular spectrum analysis (SSA) and autoregressive (AR) model-based spectrum estimation. With the combination of these methods, noise can be filtered out and over 85% of periodic gene expression can be identified in mouse presomitic mesoderm transcriptome data set. |
| Peer Reviewed | Yes |
| Published | Yes |
| Publisher URI | http://www.iaeng.org/IMECS2010/ |
| Copyright Statement | Copyright 2010 International Association of Engineers (IAENG). The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version. |
| ISBN | 978-988-17012-8-2 |
| Conference name | International MultiConference of Engineers and Computer Scientists 2010 |
| Location | Hong Kong |
| Date From | 2010-03-17 |
| Date To | 2010-03-19 |
| URI | http://hdl.handle.net/10072/37700 |
| Date Accessioned | 2011-01-25 |
| Date Available | 2011-09-07T06:12:15Z |
| Language | en_AU |
| Research Centre | Institute for Integrated and Intelligent Systems |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | Information and Computing Sciences |
| Publication Type | Conference Publications (Full Written Paper - Refereed) |
| Publication Type Code | e1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/37700
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