Innovative feature selection methods for bioinformatics

Innovative feature selection methods for bioinformatics

Feature selection has become the focus of much research in areas of application for which datasets with hundreds of thousands of variables are available. These areas include statistics, pattern recognition, machine learning, and knowledge discovery, gene expression array analysis, and combinatorial...

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Main Author: Yan, Lin
Other Authors: Wang Lipo
Format: Final Year Project
Language:English
Published: 2012
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
Online Access:http://hdl.handle.net/10356/50246
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-50246
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spelling sg-ntu-dr.10356-502462023-07-07T16:45:45Z Innovative feature selection methods for bioinformatics Yan, Lin Wang Lipo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics Feature selection has become the focus of much research in areas of application for which datasets with hundreds of thousands of variables are available. These areas include statistics, pattern recognition, machine learning, and knowledge discovery, gene expression array analysis, and combinatorial chemistry. With feature selection, we can improve the prediction performance of the predictors, provide faster and more cost-effective predictors, and provide a better understanding of the underlying process that generated data. Bachelor of Engineering 2012-05-31T03:50:16Z 2012-05-31T03:50:16Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50246 en Nanyang Technological University 49 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
Yan, Lin
Innovative feature selection methods for bioinformatics
description Feature selection has become the focus of much research in areas of application for which datasets with hundreds of thousands of variables are available. These areas include statistics, pattern recognition, machine learning, and knowledge discovery, gene expression array analysis, and combinatorial chemistry. With feature selection, we can improve the prediction performance of the predictors, provide faster and more cost-effective predictors, and provide a better understanding of the underlying process that generated data.
author2 Wang Lipo
author_facet Wang Lipo
Yan, Lin
format Final Year Project
author Yan, Lin
author_sort Yan, Lin
title Innovative feature selection methods for bioinformatics
title_short Innovative feature selection methods for bioinformatics
title_full Innovative feature selection methods for bioinformatics
title_fullStr Innovative feature selection methods for bioinformatics
title_full_unstemmed Innovative feature selection methods for bioinformatics
title_sort innovative feature selection methods for bioinformatics
publishDate 2012
url http://hdl.handle.net/10356/50246
_version_ 1772828282707771392

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