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The performance review of mrmr for gene selection and selection and classification of dna microarrays

There are two main stages in the classification of DNA microarray data. The first stage is known as gene selection and the second stage is the classification of selected genes. The number of genes produced in high-dimensional microarrays is enormous, and only some of these genes help to identify a p...

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Main Authors: Yusup, N., Mohd. Zain, A.
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/89764/1/NorfadzlanYusup2019_ThePerformanceReviewofMrmr.pdf
http://eprints.utm.my/id/eprint/89764/
http://www.dx.doi.org/10.1088/1757-899X/551/1/012040
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id my.utm.89764
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spelling my.utm.897642021-02-22T05:55:48Z http://eprints.utm.my/id/eprint/89764/ The performance review of mrmr for gene selection and selection and classification of dna microarrays Yusup, N. Mohd. Zain, A. QA75 Electronic computers. Computer science There are two main stages in the classification of DNA microarray data. The first stage is known as gene selection and the second stage is the classification of selected genes. The number of genes produced in high-dimensional microarrays is enormous, and only some of these genes help to identify a particular disease. The selection of relevant or informative genes that provide sufficient information about the condition is therefore essential. Gene selection is vital in reducing the data dimensionality which can ease the workload of the computer and increase the high classification performance. In this paper, we review the recent performance on one of the most popular filter based gene selection technique, maximum relevance minimum redundancy (mRMR). We also discuss several current improvements on the mRMR method. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/89764/1/NorfadzlanYusup2019_ThePerformanceReviewofMrmr.pdf Yusup, N. and Mohd. Zain, A. (2019) The performance review of mrmr for gene selection and selection and classification of dna microarrays. In: International Conference on Green Engineering Technology and Applied Computing 2019, IConGETech2 019 and International Conference on Applied Computing 2019, 4-5 Feb 2019, Eastin Hotel Makkasan Bangkok, Thailand. http://www.dx.doi.org/10.1088/1757-899X/551/1/012040
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Yusup, N.
Mohd. Zain, A.
The performance review of mrmr for gene selection and selection and classification of dna microarrays
description There are two main stages in the classification of DNA microarray data. The first stage is known as gene selection and the second stage is the classification of selected genes. The number of genes produced in high-dimensional microarrays is enormous, and only some of these genes help to identify a particular disease. The selection of relevant or informative genes that provide sufficient information about the condition is therefore essential. Gene selection is vital in reducing the data dimensionality which can ease the workload of the computer and increase the high classification performance. In this paper, we review the recent performance on one of the most popular filter based gene selection technique, maximum relevance minimum redundancy (mRMR). We also discuss several current improvements on the mRMR method.
format Conference or Workshop Item
author Yusup, N.
Mohd. Zain, A.
author_facet Yusup, N.
Mohd. Zain, A.
author_sort Yusup, N.
title The performance review of mrmr for gene selection and selection and classification of dna microarrays
title_short The performance review of mrmr for gene selection and selection and classification of dna microarrays
title_full The performance review of mrmr for gene selection and selection and classification of dna microarrays
title_fullStr The performance review of mrmr for gene selection and selection and classification of dna microarrays
title_full_unstemmed The performance review of mrmr for gene selection and selection and classification of dna microarrays
title_sort performance review of mrmr for gene selection and selection and classification of dna microarrays
publishDate 2019
url http://eprints.utm.my/id/eprint/89764/1/NorfadzlanYusup2019_ThePerformanceReviewofMrmr.pdf
http://eprints.utm.my/id/eprint/89764/
http://www.dx.doi.org/10.1088/1757-899X/551/1/012040
_version_ 1692991823519154176
score 13.211869

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