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Since human genome studies have brought out a huge number of biosequence data, computational techniques have been developed preventing the vast of cost and time in the management process of these data. In this book, new approaches on clustering and classification methods in biosequence –protein, enzyme sequences– analysis are studied. Classification is a supervised learning algorithm that aims at categorizing or assigning class labels to a pattern set under the supervision of an expert. Therefore, the prediction of subcellular location of proteins and the classification of enzymes have been solved via data mining techniques. Clustering is an unsupervised learning technique that aims at decomposing a given set of elements into clusters based on similarity. Due to the fact that protein sequences have evolutionary relationship, all protein sequences can be organized in terms of their sequence similarity. A graphical illustration called phylogenetic tree can summarize the relationship between the protein sequences. The construction of phylogenetic tree is based on hierarchical clustering. Thus, we have proposed a new method as a linkage method in construction phylogenetic tree.
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Dr. Kandemir-Cavas has obtained her PhD degree in Statistics in 2010. She is currently an Assistant Professor at the Department of Computer Science at Dokuz Eylül University in Izmir, Turkey.
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Clustering and Classification Methods Used in Biosequence Analysis
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LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 384655183X
ISBN 13: 9783846551837
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Since human genome studies have brought out a huge number of biosequence data, computational techniques have been developed preventing the vast of cost and time in the management process of these data. In this book, new approaches on clustering and classification methods in biosequence protein, enzyme sequences analysis are studied. Classification is a supervised learning algorithm that aims at categorizing or assigning class labels to a pattern set under the supervision of an expert. Therefore, the prediction of subcellular location of proteins and the classification of enzymes have been solved via data mining techniques. Clustering is an unsupervised learning technique that aims at decomposing a given set of elements into clusters based on similarity. Due to the fact that protein sequences have evolutionary relationship, all protein sequences can be organized in terms of their sequence similarity. A graphical illustration called phylogenetic tree can summarize the relationship between the protein sequences. The construction of phylogenetic tree is based on hierarchical clustering. Thus, we have proposed a new method as a linkage method in construction phylogenetic tree. 104 pp. Englisch. Codice articolo 9783846551837
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Clustering and Classification Methods Used in Biosequence Analysis: New Approaches
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Clustering and Classification Methods Used in Biosequence Analysis: New Approaches
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Clustering and Classification Methods Used in Biosequence Analysis: New Approaches
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Clustering and Classification Methods Used in Biosequence Analysis
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kandemir-Cavas CaginDr. Kandemir-Cavas has obtained her PhD degree in Statistics in 2010. She is currently an Assistant Professor at the Department of Computer Science at Dokuz Eyluel University in Izmir, Turkey.Since human genome. Codice articolo 5498515
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Clustering and Classification Methods Used in Biosequence Analysis
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LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 384655183X
ISBN 13: 9783846551837
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Since human genome studies have brought out a huge number of biosequence data, computational techniques have been developed preventing the vast of cost and time in the management process of these data. In this book, new approaches on clustering and classification methods in biosequence -protein, enzyme sequences- analysis are studied. Classification is a supervised learning algorithm that aims at categorizing or assigning class labels to a pattern set under the supervision of an expert. Therefore, the prediction of subcellular location of proteins and the classification of enzymes have been solved via data mining techniques. Clustering is an unsupervised learning technique that aims at decomposing a given set of elements into clusters based on similarity. Due to the fact that protein sequences have evolutionary relationship, all protein sequences can be organized in terms of their sequence similarity. A graphical illustration called phylogenetic tree can summarize the relationship between the protein sequences. The construction of phylogenetic tree is based on hierarchical clustering. Thus, we have proposed a new method as a linkage method in construction phylogenetic tree.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Codice articolo 9783846551837
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Clustering and Classification Methods Used in Biosequence Analysis : New Approaches
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384655183X
ISBN 13: 9783846551837
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Since human genome studies have brought out a huge number of biosequence data, computational techniques have been developed preventing the vast of cost and time in the management process of these data. In this book, new approaches on clustering and classification methods in biosequence protein, enzyme sequences analysis are studied. Classification is a supervised learning algorithm that aims at categorizing or assigning class labels to a pattern set under the supervision of an expert. Therefore, the prediction of subcellular location of proteins and the classification of enzymes have been solved via data mining techniques. Clustering is an unsupervised learning technique that aims at decomposing a given set of elements into clusters based on similarity. Due to the fact that protein sequences have evolutionary relationship, all protein sequences can be organized in terms of their sequence similarity. A graphical illustration called phylogenetic tree can summarize the relationship between the protein sequences. The construction of phylogenetic tree is based on hierarchical clustering. Thus, we have proposed a new method as a linkage method in construction phylogenetic tree. Codice articolo 9783846551837
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Clustering and Classification Methods Used in Biosequence Analysis | New Approaches
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Taschenbuch. Condizione: Neu. Clustering and Classification Methods Used in Biosequence Analysis | New Approaches | Cagin Kandemir-Cavas (u. a.) | Taschenbuch | 104 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846551837 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 106721919
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Clustering And Classification Methods Used In Biosequence Analysis: New Approaches
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ISBN 13: 9783846551837
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Paperback. Condizione: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock. Codice articolo __384655183X
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