A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data
Paper
Paper/Presentation Title | A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data |
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Presentation Type | Paper |
Authors | Liu, Han (Author), Kustra, Rafal (Author) and Zhang, Ji (Author) |
Editors | Arabnia, Hamid R. |
Journal or Proceedings Title | Proceedings of the 2004 International Conference on Artificial Intelligence (ICAI'04) |
Number of Pages | 7 |
Year | 2004 |
Place of Publication | Las Vegas, Nevada, USA |
ISBN | 1932415319 |
Web Address (URL) of Paper | http://dblp.uni-trier.de/db/conf/icai/icai2004-1.html |
Conference/Event | 2004 International Conference on Artificial Intelligence (ICAI'04) |
Event Details | 2004 International Conference on Artificial Intelligence (ICAI'04) Event Date 21 to end of 24 Jun 2004 Event Location Las Vegas, United States |
Abstract | DNA microarray experiments generating thousands of gene |
Keywords | gene expression data, dimensionality reduction, independent component analysis, latent regulatory factors |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | No evidence of copyright restrictions. |
Byline Affiliations | University of Toronto, Canada |
https://research.usq.edu.au/item/9z28w/a-novel-dimensionality-reduction-technique-based-on-independent-component-analysis-for-modeling-microarray-gene-expression-data
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