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Robust Naïve Bayes Algorithm for Gene Expression and PPI Data
Published by
LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 6133995947
ISBN 13: 9786133995949
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The study of Microarray Gene Expression and Protein-Protein Interaction (PPI) Sites are most recent research wings in Bioinformatics and Computational Biology. It is very essential for drug design and personalized medicine. The statistical classification is a supervised learning approach concerned with separating distinct sets of objects and with allocating new objects to previously defined groups. Especially it plays the significant roles in the field of data mining and pattern recognition. In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on the Bayes theorem with strong independence assumptions among the features. The Naive Bayes Classifier technique is particularly suited when the dimensionality of the inputs is high. Naïve Bayes classification method is one of the most popular statistical techniques for analyzing multivariate data in multidisciplinary fields in Bioinformatics and Computational Biology. 92 pp. Englisch. Seller Inventory # 9786133995949
Quantity: 2 available
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Robust Naïve Bayes Algorithm for Gene Expression and PPI Data
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6133995947
ISBN 13: 9786133995949
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ahmed Md. ShakilMd. Shakil Ahmed is a Researcher and Fiction Writer. He Received his B.Sc and M.Sc in Statistics and Bioinformatics from the University of Rajshahi, Bangladesh. He has published 6 articles in the international journal. Seller Inventory # 508182952
Quantity: Over 20 available
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Robust Naïve Bayes Algorithm for Gene Expression and PPI Data
Published by
LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 6133995947
ISBN 13: 9786133995949
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -The study of Microarray Gene Expression and Protein-Protein Interaction (PPI) Sites are most recent research wings in Bioinformatics and Computational Biology. It is very essential for drug design and personalized medicine. The statistical classification is a supervised learning approach concerned with separating distinct sets of objects and with allocating new objects to previously defined groups. Especially it plays the significant roles in the field of data mining and pattern recognition. In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on the Bayes theorem with strong independence assumptions among the features. The Naive Bayes Classifier technique is particularly suited when the dimensionality of the inputs is high. Naïve Bayes classification method is one of the most popular statistical techniques for analyzing multivariate data in multidisciplinary fields in Bioinformatics and Computational Biology.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Seller Inventory # 9786133995949
Quantity: 2 available
Seller Image
Robust Naïve Bayes Algorithm for Gene Expression and PPI Data
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6133995947
ISBN 13: 9786133995949
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The study of Microarray Gene Expression and Protein-Protein Interaction (PPI) Sites are most recent research wings in Bioinformatics and Computational Biology. It is very essential for drug design and personalized medicine. The statistical classification is a supervised learning approach concerned with separating distinct sets of objects and with allocating new objects to previously defined groups. Especially it plays the significant roles in the field of data mining and pattern recognition. In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on the Bayes theorem with strong independence assumptions among the features. The Naive Bayes Classifier technique is particularly suited when the dimensionality of the inputs is high. Naïve Bayes classification method is one of the most popular statistical techniques for analyzing multivariate data in multidisciplinary fields in Bioinformatics and Computational Biology. Seller Inventory # 9786133995949
Quantity: 1 available