Bayesian Network Analysis Software

A challenge in computational biology is to uncover thegene-protein inter-actions from gene expression data. A goodapproach for discovering inter-actions between genes based onmultiple expression measurements is to use Bayesian networks. Tothat end, BUBBLE (Bayesian User Based Bio-logical LearningEnvironment) has been developed. BUBBLE allows a re-searcher tocreate pathways, to specify prior constraints, to import data fromvarious databases and learn a Bayesian network model. In addition,User Relevance Feedback queries the user with optimal chosenquestions to improve the correctness of the pathways. The goal ofthe project was to develop an appropriate and intuitive environmentso that the user could be effective at contributing to the Bayesiannetwork construction and analysis.

Autorentext
Miroslawa Utzka, Dipl. Informatiker: Study of AppliedComputer Science at the University of Duisburg-Essen. DesignEngineer at SMS Demag, Duesseldorf.

Klappentext
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.