NDLI: Supervised Classification and Gene Selection Using Simulated Annealing

Content Provider	IEEE Xplore Digital Library
Author	Filippone, M. Masulli, F. Rovetta, S.
Copyright Year	2006
Description	Author affiliation: Univ. di Genova, Genova (Filippone, M.; Masulli, F.; Rovetta, S.)
Abstract	Genomic data are often characterized by small cardinality and high dimensionality. For those data, a feature selection procedure could highlight the relevant genes and improve the classification results. In this paper we propose a wrapper approach to gene selection in classification of gene expression data using simulated annealing and SVM. The proposed approach can do global combinatorial searches through the space of possible input subsets, can handle cases with numerical, categorical or mixed inputs, and is able to find (sub-)optimal subsets of input variables giving very low classification errors. The method has been tested on the publicly available data sets Leukemia by Golub et al. and Colon by Alon at al. The experimental results highlight the capacity of the method to select minimal sets of relevant genes.
Starting Page	3566
Ending Page	3571
File Size	158216
Page Count	6
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.247366
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Simulated annealing Input variables Gene expression Filters Genomics Bioinformatics Support vector machines Support vector machine classification Testing Colon
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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