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Protein Secondary Structure Prediction: Helical transmembrane region prediction using Adaptive Neuro-Fuzzy Inference System - Softcover
Synopsis
Over last many years, various computational models have been applied for solving various biological problems. Various transmembrane region predictors have been developed for prediction of secondary structure of proteins with varying levels of accuracy. This book provides Adaptive Neuro-Fuzzy Inference System (ANFIS) based model for predicting helical transmembrane region by acquiring the structural information of target protein directly from its sequence data. Also, a Fuzzy Inference System was developed using the same test set for comparing the performance of ANFIS model. The best configuration of ANFIS model with RMSE and accuracy as 40.92% and 76.76%, respectively, seems to outperform the fuzzy model, which attained RMSE and accuracy as 54.45% and 70.37%, respectively. The success of this approach suggests that it can find potential applications in other sequence-based analysis problems. The model decsribed in this book will be useful to bioinformaticians developing new and challenging models for solving different biological problems.
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About the Author
Indu Khatri, M.Sc.: Studied Bioinformatics at Banasthali University, Rajasthan, India. Dr. A. K. Sharma, PhD: Studied Computer Science at Thapar University(Thapar Institute of Engineering & Technology), Punjab, India. Senior Scientist Computer Applications in Agriculture at National Dairy Research Institute (NDRI),Karnal, (Haryana), India.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2011
- ISBN 10 3844313230
- ISBN 13 9783844313239
- BindingPaperback
- LanguageEnglish
- Number of pages64
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Protein Secondary Structure Prediction
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LAP LAMBERT Academic Publishing Mrz 2011, 2011
ISBN 10: 3844313230
ISBN 13: 9783844313239
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over last many years, various computational models have been applied for solving various biological problems. Various transmembrane region predictors have been developed for prediction of secondary structure of proteins with varying levels of accuracy. This book provides Adaptive Neuro-Fuzzy Inference System (ANFIS) based model for predicting helical transmembrane region by acquiring the structural information of target protein directly from its sequence data. Also, a Fuzzy Inference System was developed using the same test set for comparing the performance of ANFIS model. The best configuration of ANFIS model with RMSE and accuracy as 40.92% and 76.76%, respectively, seems to outperform the fuzzy model, which attained RMSE and accuracy as 54.45% and 70.37%, respectively. The success of this approach suggests that it can find potential applications in other sequence-based analysis problems. The model decsribed in this book will be useful to bioinformaticians developing new and challenging models for solving different biological problems. 64 pp. Englisch. Seller Inventory # 9783844313239
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Protein Secondary Structure Prediction : Helical transmembrane region prediction using Adaptive Neuro-Fuzzy Inference System
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844313230
ISBN 13: 9783844313239
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over last many years, various computational models have been applied for solving various biological problems. Various transmembrane region predictors have been developed for prediction of secondary structure of proteins with varying levels of accuracy. This book provides Adaptive Neuro-Fuzzy Inference System (ANFIS) based model for predicting helical transmembrane region by acquiring the structural information of target protein directly from its sequence data. Also, a Fuzzy Inference System was developed using the same test set for comparing the performance of ANFIS model. The best configuration of ANFIS model with RMSE and accuracy as 40.92% and 76.76%, respectively, seems to outperform the fuzzy model, which attained RMSE and accuracy as 54.45% and 70.37%, respectively. The success of this approach suggests that it can find potential applications in other sequence-based analysis problems. The model decsribed in this book will be useful to bioinformaticians developing new and challenging models for solving different biological problems. Seller Inventory # 9783844313239
Quantity: 1 available
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Protein Secondary Structure Prediction
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844313230
ISBN 13: 9783844313239
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khatri InduIndu Khatri, M.Sc.: Studied Bioinformatics at Banasthali University, Rajasthan, India. Dr. A. K. Sharma, PhD: Studied Computer Science at Thapar University(Thapar Institute of Engineering & Technology), Punjab, India. Sen. Seller Inventory # 5471790
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