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HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets

The selection and classification of genes is essential for the identification of related genes to a specific disease. Developing a user-friendly application with combined statistical rigor and machine learning functionality to help the biomedical researchers and end users is of great importance. In...

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Main Authors: Hameed, Shilan S., Hassan, Rohayanti, Hassan, Wan Haslina, Muhammadsharif, Fahmi F., Abdul Latiff, Liza
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/94636/1/WanHaslinaHassan2021_HDGSelectANovelGUIBasedApplication.pdf
http://eprints.utm.my/id/eprint/94636/
http://dx.doi.org/10.1371/journal.pone.0246039
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id my.utm.94636
record_format eprints
spelling my.utm.946362022-03-31T15:51:44Z http://eprints.utm.my/id/eprint/94636/ HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets Hameed, Shilan S. Hassan, Rohayanti Hassan, Wan Haslina Muhammadsharif, Fahmi F. Abdul Latiff, Liza T Technology (General) The selection and classification of genes is essential for the identification of related genes to a specific disease. Developing a user-friendly application with combined statistical rigor and machine learning functionality to help the biomedical researchers and end users is of great importance. In this work, a novel stand-alone application, which is based on graphical user interface (GUI), is developed to perform the full functionality of gene selection and classification in high dimensional datasets. The so-called HDG-select application is validated on eleven high dimensional datasets of the format CSV and GEO soft. The proposed tool uses the efficient algorithm of combined filter-GBPSO-SVM and it was made freely available to users. It was found that the proposed HDG-select outperformed other tools reported in literature and presented a competitive performance, accessibility, and functionality. Public Library of Science 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/94636/1/WanHaslinaHassan2021_HDGSelectANovelGUIBasedApplication.pdf Hameed, Shilan S. and Hassan, Rohayanti and Hassan, Wan Haslina and Muhammadsharif, Fahmi F. and Abdul Latiff, Liza (2021) HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets. PLoS ONE, 16 . e0246039-e0246039. ISSN 1932-6203 http://dx.doi.org/10.1371/journal.pone.0246039
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 T Technology (General)
spellingShingle T Technology (General)
Hameed, Shilan S.
Hassan, Rohayanti
Hassan, Wan Haslina
Muhammadsharif, Fahmi F.
Abdul Latiff, Liza
HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets
description The selection and classification of genes is essential for the identification of related genes to a specific disease. Developing a user-friendly application with combined statistical rigor and machine learning functionality to help the biomedical researchers and end users is of great importance. In this work, a novel stand-alone application, which is based on graphical user interface (GUI), is developed to perform the full functionality of gene selection and classification in high dimensional datasets. The so-called HDG-select application is validated on eleven high dimensional datasets of the format CSV and GEO soft. The proposed tool uses the efficient algorithm of combined filter-GBPSO-SVM and it was made freely available to users. It was found that the proposed HDG-select outperformed other tools reported in literature and presented a competitive performance, accessibility, and functionality.
format Article
author Hameed, Shilan S.
Hassan, Rohayanti
Hassan, Wan Haslina
Muhammadsharif, Fahmi F.
Abdul Latiff, Liza
author_facet Hameed, Shilan S.
Hassan, Rohayanti
Hassan, Wan Haslina
Muhammadsharif, Fahmi F.
Abdul Latiff, Liza
author_sort Hameed, Shilan S.
title HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets
title_short HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets
title_full HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets
title_fullStr HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets
title_full_unstemmed HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets
title_sort hdg-select: a novel gui based application for gene selection and classification in high dimensional datasets
publisher Public Library of Science
publishDate 2021
url http://eprints.utm.my/id/eprint/94636/1/WanHaslinaHassan2021_HDGSelectANovelGUIBasedApplication.pdf
http://eprints.utm.my/id/eprint/94636/
http://dx.doi.org/10.1371/journal.pone.0246039
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score 13.211869

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