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Validation of hierarchical gene clusters using repeated measurements

Hierarchical clustering is an unsupervised technique, which is a common approach to study protein and gene expression data. In clustering, the patterns of expression of different genes are grouped into distinct clusters, in which the genes in the same cluster are assumed potential to be functionally...

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Main Authors:	Mohamad, Mohd. Saberi, Lim, Fong Tee, Deris, Safaai, Mohd. Faudzi, Ahmad ‘Athif, Abd. Latiff, Muhammad Shafie, Sallehuddin, Roselina
Format:	Article
Language:	English
Published:	Penerbit UTM 2013
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/50178/1/Mohd.SaberiMohamad2013_Validationofhierarchicalgene.pdf http://eprints.utm.my/id/eprint/50178/ http://dx.doi.org/10.11113/jt.v61.1616
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id	my.utm.50178
record_format	eprints
spelling	my.utm.501782018-10-21T04:33:25Z http://eprints.utm.my/id/eprint/50178/ Validation of hierarchical gene clusters using repeated measurements Mohamad, Mohd. Saberi Lim, Fong Tee Deris, Safaai Mohd. Faudzi, Ahmad ‘Athif Abd. Latiff, Muhammad Shafie Sallehuddin, Roselina QA75 Electronic computers. Computer science Hierarchical clustering is an unsupervised technique, which is a common approach to study protein and gene expression data. In clustering, the patterns of expression of different genes are grouped into distinct clusters, in which the genes in the same cluster are assumed potential to be functionally related or to be influenced by a common upstream factor. Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, the uncertainty in the results obtained is still bothersome. Experimental repetitions are generally performed to overcome the drawbacks of biological variability and technical variability. In this study, the author proposes repeated measurement to evaluate the stability of gene clusters. This paper aims to prove that the stability from the gene clusters, incorporated with repeated measurement, can be used for further analysis Penerbit UTM 2013 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/50178/1/Mohd.SaberiMohamad2013_Validationofhierarchicalgene.pdf Mohamad, Mohd. Saberi and Lim, Fong Tee and Deris, Safaai and Mohd. Faudzi, Ahmad ‘Athif and Abd. Latiff, Muhammad Shafie and Sallehuddin, Roselina (2013) Validation of hierarchical gene clusters using repeated measurements. Jurnal Teknologi (Sciences and Engineering), 61 (1). pp. 7-12. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v61.1616 DOI: 10.11113/jt.v61.1616
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 Mohamad, Mohd. Saberi Lim, Fong Tee Deris, Safaai Mohd. Faudzi, Ahmad ‘Athif Abd. Latiff, Muhammad Shafie Sallehuddin, Roselina Validation of hierarchical gene clusters using repeated measurements
description	Hierarchical clustering is an unsupervised technique, which is a common approach to study protein and gene expression data. In clustering, the patterns of expression of different genes are grouped into distinct clusters, in which the genes in the same cluster are assumed potential to be functionally related or to be influenced by a common upstream factor. Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, the uncertainty in the results obtained is still bothersome. Experimental repetitions are generally performed to overcome the drawbacks of biological variability and technical variability. In this study, the author proposes repeated measurement to evaluate the stability of gene clusters. This paper aims to prove that the stability from the gene clusters, incorporated with repeated measurement, can be used for further analysis
format	Article
author	Mohamad, Mohd. Saberi Lim, Fong Tee Deris, Safaai Mohd. Faudzi, Ahmad ‘Athif Abd. Latiff, Muhammad Shafie Sallehuddin, Roselina
author_facet	Mohamad, Mohd. Saberi Lim, Fong Tee Deris, Safaai Mohd. Faudzi, Ahmad ‘Athif Abd. Latiff, Muhammad Shafie Sallehuddin, Roselina
author_sort	Mohamad, Mohd. Saberi
title	Validation of hierarchical gene clusters using repeated measurements
title_short	Validation of hierarchical gene clusters using repeated measurements
title_full	Validation of hierarchical gene clusters using repeated measurements
title_fullStr	Validation of hierarchical gene clusters using repeated measurements
title_full_unstemmed	Validation of hierarchical gene clusters using repeated measurements
title_sort	validation of hierarchical gene clusters using repeated measurements
publisher	Penerbit UTM
publishDate	2013
url	http://eprints.utm.my/id/eprint/50178/1/Mohd.SaberiMohamad2013_Validationofhierarchicalgene.pdf http://eprints.utm.my/id/eprint/50178/ http://dx.doi.org/10.11113/jt.v61.1616
_version_	1643652786160664576
score	13.244404

Validation of hierarchical gene clusters using repeated measurements

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