An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes
Gene expression data could likely be a momentous help in the progress of proficient cancer diagnoses and classification platforms. Lately, many researchers analyze gene expression data using diverse computational intelligence methods, for selecting a small subset of informative genes from the data f...
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BioMed Central Ltd.
2013
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Online Access: | http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/1/An%20enhancement%20of%20binary%20particle%20swarm%20optimization.pdf |
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ump-253652019-12-10T01:32:39Z http://umpir.ump.edu.my/id/eprint/25365/ An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes Mohd Saberi, Mohamad Sigeru, Omatu Safaai, Deris Yoshioka, Michifumi Afnizanfaizal, Abdullah Zuwairie, Ibrahim TJ Mechanical engineering and machinery Gene expression data could likely be a momentous help in the progress of proficient cancer diagnoses and classification platforms. Lately, many researchers analyze gene expression data using diverse computational intelligence methods, for selecting a small subset of informative genes from the data for cancer classification. Many computational methods face difficulties in selecting small subsets due to the small number of samples compared to the huge number of genes (high-dimension), irrelevant genes, and noisy genes. BioMed Central Ltd. 2013 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25365/1/An%20enhancement%20of%20binary%20particle%20swarm%20optimization.pdf Mohd Saberi, Mohamad and Sigeru, Omatu and Safaai, Deris and Yoshioka, Michifumi and Afnizanfaizal, Abdullah and Zuwairie, Ibrahim (2013) An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes. Algorithms for Molecular Biology, 8 (15). pp. 1-11. ISSN 1748-7188 https://doi.org/10.1186/1748-7188-8-15 https://doi.org/10.1186/1748-7188-8-15 |
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Digital Repository |
institution_category |
Local University |
institution |
Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
TJ Mechanical engineering and machinery |
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TJ Mechanical engineering and machinery Mohd Saberi, Mohamad Sigeru, Omatu Safaai, Deris Yoshioka, Michifumi Afnizanfaizal, Abdullah Zuwairie, Ibrahim An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes |
description |
Gene expression data could likely be a momentous help in the progress of proficient cancer diagnoses and classification platforms. Lately, many researchers analyze gene expression data using diverse computational intelligence methods, for selecting a small subset of informative genes from the data for cancer classification. Many computational methods face difficulties in selecting small subsets due to the small number of samples compared to the huge number of genes (high-dimension), irrelevant genes, and noisy genes. |
format |
Article |
author |
Mohd Saberi, Mohamad Sigeru, Omatu Safaai, Deris Yoshioka, Michifumi Afnizanfaizal, Abdullah Zuwairie, Ibrahim |
author_facet |
Mohd Saberi, Mohamad Sigeru, Omatu Safaai, Deris Yoshioka, Michifumi Afnizanfaizal, Abdullah Zuwairie, Ibrahim |
author_sort |
Mohd Saberi, Mohamad |
title |
An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes |
title_short |
An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes |
title_full |
An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes |
title_fullStr |
An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes |
title_full_unstemmed |
An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes |
title_sort |
enhancement of binary particle swarm optimization for gene selection in classifying cancer classes |
publisher |
BioMed Central Ltd. |
publishDate |
2013 |
url |
http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/1/An%20enhancement%20of%20binary%20particle%20swarm%20optimization.pdf |
first_indexed |
2023-09-18T22:38:54Z |
last_indexed |
2023-09-18T22:38:54Z |
_version_ |
1777416782044200960 |