NDLI: Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data

Content Provider	IEEE Xplore Digital Library
Author	Yifeng Li Ngom, A.
Copyright Year	2004
Abstract	Microarray data can be used to detect diseases and predict responses to therapies through classification models. However, the high dimensionality and low sample size of such data result in many computational problems such as reduced prediction accuracy and slow classification speed. In this paper, we propose a novel family of nonnegative least-squares classifiers for high-dimensional microarray gene expression and comparative genomic hybridization data. Our approaches are based on combining the advantages of using local learning, transductive learning, and ensemble learning, for better prediction performance. To study the performances of our methods, we performed computational experiments on 17 well-known data sets with diverse characteristics. We have also performed statistical comparisons with many classification techniques including the well-performing SVM approach and two related but recent methods proposed in literature. Experimental results show that our approaches are faster and achieve generally a better prediction performance over compared methods.
Sponsorship	IEEE Computer Society
Page Count	10
File Size	447901
Starting Page	447
Ending Page	456
File Format	PDF
ISSN	15455963
Volume Number	10
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithms Classificaiton Least squares methods Diseases Medical information systems classifier design and evaluation algorithms Medicine
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Genetics Biotechnology

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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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