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Protein Function Prediction from Protein Interaction Network: A Two Pass Neighborhood Approach - Softcover
Synopsis
Proteins perform every function in a cell. With the advent of genome sequencing projects for different organisms, large amounts of DNA and protein sequence data is available, whereas their biological function is still unknown in the most of the cases. Predicting protein function is the most challenging problem in post-genomic era. Using sequence homology, phylogenetic profiles, gene expression data, and function of unknown protein can be predicted. Recently, the large interaction networks constructed from high throughput techniques like Yeast2Hybrid experiments are also used in prediction of protein function. As experimental techniques for detection and validation of protein interactions are time consuming, there is a need for computational methods for this task. Based on the concept that a protein performs similar function like its neighbor in protein interaction network, a method is proposed to predict protein function using protein-protein interaction data.This analysis should enlighten the path for predicting unannotated protein function hence identifying diseases and inventing methods of it's cureness.
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About the Author
Asst.Prof.Sovan Saha,Dr.Sudhir Chandra Sur Degree Engineering College,Computer Science & Engineering Department,BTECH:Saroj Mohan Institute Of Technology(CSE),WBUT,Mtech:Netaji Subhash Engineering College(CSE),WBUT,IEEEconference codis 2012(10.1109/CODIS.2012.6422270),International Journal Of Computer Engineering & Technology:ISSN 0976–6367,India
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Protein Function Prediction from Protein Interaction Network
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LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659402788
ISBN 13: 9783659402784
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Proteins perform every function in a cell. With the advent of genome sequencing projects for different organisms, large amounts of DNA and protein sequence data is available, whereas their biological function is still unknown in the most of the cases. Predicting protein function is the most challenging problem in post-genomic era. Using sequence homology, phylogenetic profiles, gene expression data, and function of unknown protein can be predicted. Recently, the large interaction networks constructed from high throughput techniques like Yeast2Hybrid experiments are also used in prediction of protein function. As experimental techniques for detection and validation of protein interactions are time consuming, there is a need for computational methods for this task. Based on the concept that a protein performs similar function like its neighbor in protein interaction network, a method is proposed to predict protein function using protein-protein interaction data.This analysis should enlighten the path for predicting unannotated protein function hence identifying diseases and inventing methods of it's cureness. 148 pp. Englisch. Seller Inventory # 9783659402784
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Protein Function Prediction from Protein Interaction Network
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saha SovanAsst.Prof.Sovan Saha,Dr.Sudhir Chandra Sur Degree Engineering College,Computer Science & Engineering Department,BTECH:Saroj Mohan Institute Of Technology(CSE),WBUT,Mtech:Netaji Subhash Engineering College(CSE),WBUT,IEEEconf. Seller Inventory # 5153958
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Protein Function Prediction from Protein Interaction Network
Published by
LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659402788
ISBN 13: 9783659402784
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Proteins perform every function in a cell. With the advent of genome sequencing projects for different organisms, large amounts of DNA and protein sequence data is available, whereas their biological function is still unknown in the most of the cases. Predicting protein function is the most challenging problem in post-genomic era. Using sequence homology, phylogenetic profiles, gene expression data, and function of unknown protein can be predicted. Recently, the large interaction networks constructed from high throughput techniques like Yeast2Hybrid experiments are also used in prediction of protein function. As experimental techniques for detection and validation of protein interactions are time consuming, there is a need for computational methods for this task. Based on the concept that a protein performs similar function like its neighbor in protein interaction network, a method is proposed to predict protein function using protein-protein interaction data.This analysis should enlighten the path for predicting unannotated protein function hence identifying diseases and inventing methods of it's cureness.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. Seller Inventory # 9783659402784
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Protein Function Prediction from Protein Interaction Network | A Two Pass Neighborhood Approach
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Taschenbuch. Condition: Neu. Protein Function Prediction from Protein Interaction Network | A Two Pass Neighborhood Approach | Sovan Saha (u. a.) | Taschenbuch | 148 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659402784 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 105915639
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Protein Function Prediction from Protein Interaction Network : A Two Pass Neighborhood Approach
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ISBN 13: 9783659402784
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Proteins perform every function in a cell. With the advent of genome sequencing projects for different organisms, large amounts of DNA and protein sequence data is available, whereas their biological function is still unknown in the most of the cases. Predicting protein function is the most challenging problem in post-genomic era. Using sequence homology, phylogenetic profiles, gene expression data, and function of unknown protein can be predicted. Recently, the large interaction networks constructed from high throughput techniques like Yeast2Hybrid experiments are also used in prediction of protein function. As experimental techniques for detection and validation of protein interactions are time consuming, there is a need for computational methods for this task. Based on the concept that a protein performs similar function like its neighbor in protein interaction network, a method is proposed to predict protein function using protein-protein interaction data.This analysis should enlighten the path for predicting unannotated protein function hence identifying diseases and inventing methods of it's cureness. Seller Inventory # 9783659402784
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Protein Function Prediction from Protein Interaction Network: A Two Pass Neighborhood Approach
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