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Derivation of an artificial gene to improve classification accuracy upon gene selection

Paper ID Volume ID Publish Year Pages File Format Full-Text
15202 1391 2012 12 PDF Available
Title
Derivation of an artificial gene to improve classification accuracy upon gene selection
Abstract

Classification analysis has been developed continuously since 1936. This research field has advanced as a result of development of classifiers such as KNN, ANN, and SVM, as well as through data preprocessing areas. Feature (gene) selection is required for very high dimensional data such as microarray before classification work. The goal of feature selection is to choose a subset of informative features that reduces processing time and provides higher classification accuracy. In this study, we devised a method of artificial gene making (AGM) for microarray data to improve classification accuracy. Our artificial gene was derived from a whole microarray dataset, and combined with a result of gene selection for classification analysis. We experimentally confirmed a clear improvement of classification accuracy after inserting artificial gene. Our artificial gene worked well for popular feature (gene) selection algorithms and classifiers. The proposed approach can be applied to any type of high dimensional dataset.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► Microarray datasets require gene selection before classification task. ► We add an artificial gene into gene selection result. ► The artificial gene brings clear improvement of classification accuracy.

Keywords
Feature selection; Gene selection; Classification; Accuracy
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Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 36, February 2012, Pages 1–12
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us