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Bayesian Network Analysis Software

Miroslawa Utzka

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ISBN 10: 3639017498 / ISBN 13: 9783639017496
Published by VDM Verlag
New Condition: New Soft cover
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116 pages. Dimensions: 8.7in. x 5.9in. x 0.3in.A challenge in computational biology is to uncover the gene-protein inter-actions from gene expression data. A good approach for discovering inter-actions between genes based on multiple expression measurements is to use Bayesian networks. To that end, BUBBLE (Bayesian User Based Bio-logical Learning Environment) has been developed. BUBBLE allows a re-searcher to create pathways, to specify prior constraints, to import data from various databases and learn a Bayesian network model. In addition, User Relevance Feedback queries the user with optimal chosen questions to improve the correctness of the pathways. The goal of the project was to develop an appropriate and intuitive environment so that the user could be effective at contributing to the Bayesian network construction and analysis. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783639017496

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Bibliographic Details

Title: Bayesian Network Analysis Software

Publisher: VDM Verlag

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

A challenge in computational biology is to uncover the gene-protein inter-actions from gene expression data. A good approach for discovering inter-actions between genes based on multiple expression measurements is to use Bayesian networks. To that end, BUBBLE (Bayesian User Based Bio-logical Learning Environment) has been developed. BUBBLE allows a re-searcher to create pathways, to specify prior constraints, to import data from various databases and learn a Bayesian network model. In addition, User Relevance Feedback queries the user with optimal chosen questions to improve the correctness of the pathways. The goal of the project was to develop an appropriate and intuitive environment so that the user could be effective at contributing to the Bayesian network construction and analysis.

About the Author:

Miroslawa Utzka, Dipl. Informatiker: Study of Applied Computer Science at the University of Duisburg-Essen.Design Engineer at SMS Demag, Duesseldorf.

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