The idea of this work is to classify the RNA secondary structure elements using the modified backpropagation neural network. RNA secondary structure contains elements like helix, hairpin, internal loop, external loop, multi branch loop, bulge etc.The hairpin, non hairpin, helix and non helix portions are extracted using the representative and the secondary structure. Since sequences are strings of alphabets A, U, C, G and vary in length so they can’t be used as such for inputs of neural network. The feature vector is extracted from sequences. Feature vector has eight parameters.
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Shailendra Singh is a faculty member in computer science and engineering department at PEC University of Technology, Chandigarh. His research interest includes bioinformatics, NLP and soft computing. He has received several awards and recognition in teaching and conferences. He has contributed more than 50 research papers.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The idea of this work is to classify the RNA secondary structure elements using the modified backpropagation neural network. RNA secondary structure contains elements like helix, hairpin, internal loop, external loop, multi branch loop, bulge etc.The hairpin, non hairpin, helix and non helix portions are extracted using the representative and the secondary structure. Since sequences are strings of alphabets A, U, C, G and vary in length so they can t be used as such for inputs of neural network. The feature vector is extracted from sequences. Feature vector has eight parameters. 104 pp. Englisch. Bestandsnummer des Verkäufers 9783659623790
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh ShailendraShailendra Singh is a faculty member in computer science and engineering department at PEC University of Technology, Chandigarh. His research interest includes bioinformatics, NLP and soft computing. He has received . Bestandsnummer des Verkäufers 5169134
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The idea of this work is to classify the RNA secondary structure elements using the modified backpropagation neural network. RNA secondary structure contains elements like helix, hairpin, internal loop, external loop, multi branch loop, bulge etc.The hairpin, non hairpin, helix and non helix portions are extracted using the representative and the secondary structure. Since sequences are strings of alphabets A, U, C, G and vary in length so they can't be used as such for inputs of neural network. The feature vector is extracted from sequences. Feature vector has eight parameters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Bestandsnummer des Verkäufers 9783659623790
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The idea of this work is to classify the RNA secondary structure elements using the modified backpropagation neural network. RNA secondary structure contains elements like helix, hairpin, internal loop, external loop, multi branch loop, bulge etc.The hairpin, non hairpin, helix and non helix portions are extracted using the representative and the secondary structure. Since sequences are strings of alphabets A, U, C, G and vary in length so they can t be used as such for inputs of neural network. The feature vector is extracted from sequences. Feature vector has eight parameters. Bestandsnummer des Verkäufers 9783659623790
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Taschenbuch. Zustand: Neu. Modified BPN Based RNA Secondary Structure Classification | Secondary Structure Classification | Shailendra Singh (u. a.) | Taschenbuch | 104 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659623790 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 104966095
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