On the effectiveness of gene selection for microarray classification methods
Paper
| Paper/Presentation Title | On the effectiveness of gene selection for microarray classification methods |
|---|---|
| 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
Download files
2133
total views502
total downloads0
views this month4
downloads this month