Parallel Minimum Spanning Tree-based Clustering Techniques: Parallel Minimum Spanning Tree-based Clustering Techniques for Gene Expression Analysis - Softcover
Synopsis
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.
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About the Author
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. Condition: 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. Seller Inventory # 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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Condition: 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. Seller Inventory # 5158812
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Parallel Minimum Spanning Tree-based Clustering Techniques
Published by
LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659481688
ISBN 13: 9783659481680
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Taschenbuch. Condition: 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. Seller Inventory # 9783659481680
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Parallel Minimum Spanning Tree-based Clustering Techniques : Parallel Minimum Spanning Tree-based Clustering Techniques for Gene Expression Analysis
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659481688
ISBN 13: 9783659481680
New
Taschenbuch
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Taschenbuch. Condition: 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. Seller Inventory # 9783659481680