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. Na�ve Bayes classification method is one of the most popular statistical techniques for analyzing multivariate data in multidisciplinary fields in Bioinformatics and Computational Biology.

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Bibliographic Details

Title: Robust Na�ve Bayes Algorithm for Gene Expression and PPI Data
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2018
Language: English
ISBN 10: 6133995947
ISBN 13: 9786133995949
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 6 millimeters depth
Weight: 155 grams

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