Robust Naïve Bayes Algorithm for Gene Expression and PPI Data

Md. Shakil Ahmed

ISBN 10: 6133995947 / ISBN 13: 9786133995949

Published by LAP LAMBERT Academic Publishing Feb 2018, 2018

About this Item

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

Bibliographic Details

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