On the effectiveness of gene selection for microarray classification methods
Paper
Paper/Presentation Title | On the effectiveness of gene selection for microarray classification methods |
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Presentation Type | Paper |
Authors | Zhang, Zhongwei (Author), Li, Jiuyong (Author), Hu, Hong (Author) and Zhou, Hong (Author) |
Editors | Nguyen, Ngoc Thanh, Le, Manh Thanh and Swiatek, Jerzy |
Journal or Proceedings Title | Lecture Notes in Artificial Intelligence (Book series) |
Journal Citation | 5991 (2), pp. 300-309 |
Number of Pages | 10 |
Year | 2010 |
Place of Publication | Heidelberg, Germany |
ISBN | 9783642121005 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-12101-2_31 |
Conference/Event | 2nd Asian Conference on Intelligent Information and Database Systems (ACIIDS 2010) |
Event Details | 2nd Asian Conference on Intelligent Information and Database Systems (ACIIDS 2010) Event Date 24 to end of 26 Mar 2010 Event Location Hue City, Vietnam |
Abstract | Microarray data usually contains a high level of noisy gene |
Keywords | classification accuracy; clean up; data sets; gene selection; high-dimensional; microarray classification; microarray data; noisy data |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
420399. Health services and systems not elsewhere classified | |
310505. Gene expression (incl. microarray and other genome-wide approaches) | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Department of Mathematics and Computing |
University of South Australia | |
Planning and Quality Office | |
Department of Electrical, Electronic and Computer Engineering |
https://research.usq.edu.au/item/9z9z3/on-the-effectiveness-of-gene-selection-for-microarray-classification-methods
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