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Parallel Minimum Spanning Tree-based Clustering Techniques: Parallel Minimum Spanning Tree-based Clustering Techniques for Gene Expression Analysis - Brossura
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This book is dedicated to interested people in Bioinformatics, High performance computing, Microarrays data clustering, Gene expression analysis. The DNA Microarrays technology is a high-throughput experimental technique that can measure expression levels of hundreds of thousands of genes simultaneously. The DNA microarrays data clustering aims to organize genes that those with similar expression patterns are grouped together to identifying biologically relevant groups of genes. This book proposed three minimum spanning tree -based clustering algorithms for gene expression analysis. The performance of the proposed algorithms (iCLUMP, iCLUMP-2 and hiCLUMP) was tested on a 45 processing nodes cluster using various cancer microarrays data sets. The results showed that the order of the proposed algorithms in terms of minimum runtime and maximum speedup/efficiency is iCLUMP-2 , iCLUMP and hiCLUMP. Furthermore the quality of the cluster produced by the iCLUMP-2 algorithm is much better than those produced by the other algorithms.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Dina Elsayad; Egyptian researcher graduated from Faculty of Computer & Information Sciences, Ain Shams University 2007, Cairo - Egypt.Has obtained her master degree in Bioinformatics and High Performance Computing in 2013.Dr. Amal Khalifa is Professor of Scientific Computing, has obtained her Phd degree in High-performance Computing in 2009.
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Parallel Minimum Spanning Tree-based Clustering Techniques: Parallel Minimum Spanning Tree-based Clustering Techniques for Gene Expression Analysis
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659481688
ISBN 13: 9783659481680
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Parallel Minimum Spanning Tree-based Clustering Techniques
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is dedicated to interested people in Bioinformatics, High performance computing, Microarrays data clustering, Gene expression analysis. The DNA Microarrays technology is a high-throughput experimental technique that can measure expression levels of hundreds of thousands of genes simultaneously. The DNA microarrays data clustering aims to organize genes that those with similar expression patterns are grouped together to identifying biologically relevant groups of genes. This book proposed three minimum spanning tree -based clustering algorithms for gene expression analysis. The performance of the proposed algorithms (iCLUMP, iCLUMP-2 and hiCLUMP) was tested on a 45 processing nodes cluster using various cancer microarrays data sets. The results showed that the order of the proposed algorithms in terms of minimum runtime and maximum speedup/efficiency is iCLUMP-2 , iCLUMP and hiCLUMP. Furthermore the quality of the cluster produced by the iCLUMP-2 algorithm is much better than those produced by the other algorithms. 112 pp. Englisch. Codice articolo 9783659481680
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Parallel Minimum Spanning Tree-Based Clustering Techniques
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Parallel Minimum Spanning Tree-Based Clustering Techniques
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Parallel Minimum Spanning Tree-Based Clustering Techniques
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Elsayad DinaDina Elsayad Egyptian researcher graduated from Faculty of Computer & Information Sciences, Ain Shams University 2007, Cairo - Egypt.Has obtained her master degree in Bioinformatics and High Performance Computing in 201. Codice articolo 5158812
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is dedicated to interested people in Bioinformatics, High performance computing, Microarrays data clustering, Gene expression analysis. The DNA Microarrays technology is a high-throughput experimental technique that can measure expression levels of hundreds of thousands of genes simultaneously. The DNA microarrays data clustering aims to organize genes that those with similar expression patterns are grouped together to identifying biologically relevant groups of genes. This book proposed three minimum spanning tree -based clustering algorithms for gene expression analysis. The performance of the proposed algorithms (iCLUMP, iCLUMP-2 and hiCLUMP) was tested on a 45 processing nodes cluster using various cancer microarrays data sets. The results showed that the order of the proposed algorithms in terms of minimum runtime and maximum speedup/efficiency is iCLUMP-2 , iCLUMP and hiCLUMP. Furthermore the quality of the cluster produced by the iCLUMP-2 algorithm is much better than those produced by the other algorithms.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Codice articolo 9783659481680
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Parallel Minimum Spanning Tree-based Clustering Techniques : Parallel Minimum Spanning Tree-based Clustering Techniques for Gene Expression Analysis
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ISBN 10: 3659481688
ISBN 13: 9783659481680
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is dedicated to interested people in Bioinformatics, High performance computing, Microarrays data clustering, Gene expression analysis. The DNA Microarrays technology is a high-throughput experimental technique that can measure expression levels of hundreds of thousands of genes simultaneously. The DNA microarrays data clustering aims to organize genes that those with similar expression patterns are grouped together to identifying biologically relevant groups of genes. This book proposed three minimum spanning tree -based clustering algorithms for gene expression analysis. The performance of the proposed algorithms (iCLUMP, iCLUMP-2 and hiCLUMP) was tested on a 45 processing nodes cluster using various cancer microarrays data sets. The results showed that the order of the proposed algorithms in terms of minimum runtime and maximum speedup/efficiency is iCLUMP-2 , iCLUMP and hiCLUMP. Furthermore the quality of the cluster produced by the iCLUMP-2 algorithm is much better than those produced by the other algorithms. Codice articolo 9783659481680
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Parallel Minimum Spanning Tree-based Clustering Techniques | Parallel Minimum Spanning Tree-based Clustering Techniques for Gene Expression Analysis
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659481688
ISBN 13: 9783659481680
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Taschenbuch. Condizione: Neu. Parallel Minimum Spanning Tree-based Clustering Techniques | Parallel Minimum Spanning Tree-based Clustering Techniques for Gene Expression Analysis | Dina Elsayad (u. a.) | Taschenbuch | 112 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659481680 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 105542273
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