Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/87162
DC Field | Value | |
---|---|---|
dc.title | Partition-conditional ICA for Bayesian classification of microarray data | |
dc.contributor.author | Fan, L. | |
dc.contributor.author | Poh, K.-L. | |
dc.contributor.author | Zhou, P. | |
dc.date.accessioned | 2014-10-07T10:24:57Z | |
dc.date.available | 2014-10-07T10:24:57Z | |
dc.date.issued | 2010-12 | |
dc.identifier.citation | Fan, L., Poh, K.-L., Zhou, P. (2010-12). Partition-conditional ICA for Bayesian classification of microarray data. Expert Systems with Applications 37 (12) : 8188-8192. ScholarBank@NUS Repository. | |
dc.identifier.issn | 09574174 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/87162 | |
dc.description.abstract | Accurate classification of microarray data is very important for medical decision making. Past studies ave shown that class-conditional independent component analysis (CC-ICA) is capable of improving the performance of naïve Bayes classifier in microarray data analysis. However, when a microarray dataset has a small number of samples for some classes, the application of CC-ICA may become infeasible. This paper extends CC-ICA and proposes a partition-conditional independent component analysis (PC-ICA) method for naive Bayes classification of microarray data. Compared to ICA and CC-ICA, PC-ICA represents an in-between concept for feature extraction. Our experimental results on two microarray datasets show that PC-ICA is more effective than ICA in improving the performance of naïve Bayes classification of microarray data. © 2010 Elsevier Ltd. All rights reserved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.eswa.2010.05.068 | |
dc.source | Scopus | |
dc.subject | Feature extraction | |
dc.subject | Independent component analysis | |
dc.subject | Microarray data | |
dc.subject | Mutual information | |
dc.subject | Naïve Bayes | |
dc.type | Article | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.description.sourcetitle | Expert Systems with Applications | |
dc.description.volume | 37 | |
dc.description.issue | 12 | |
dc.description.page | 8188-8192 | |
dc.description.coden | ESAPE | |
dc.identifier.isiut | 000281339900090 | |
Appears in Collections: | Staff Publications |
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