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  1. Proceedings of the 1st international workshop on Text mining in bioinformatics (TMBIO '06)
  2. BioCAD: an information fusion platform for bio-network inference and analysis
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Towards applying text mining and natural language processing for biomedical ontology acquisition
Using emerging genome data to identify conserved bone morphogenetic protein (Bmp) 2 gene expression mechanisms
Framework for a protein ontology
A comparison study of biomedical short form definition detection algorithms
BioCAD: an information fusion platform for bio-network inference and analysis
Application of correlate summation to data clustering in the estrogen- and salt-sensitive female mRen2.Lewis rat
Integrating biomedical literature clustering and summarization approaches using biomedical ontology
Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations using a priori knowledge of gene relationships
Substring selection for biomedical document classification
GO for gene documents

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BioCAD: an information fusion platform for bio-network inference and analysis

Content Provider ACM Digital Library
Author Kim, Younghoon Kim, Sangwoo Lee, Doheon
Abstract As systems biology has begun to draw growing attention, bio-network inference and analysis have become more and more important. Though there have been many efforts for bio-network inference, they are still far from practical applications due to too many false inferences and lack of comprehensible interpretation in the biological viewpoints. In order for applying to real problems, they should provide effective inference, reliable validation, rational elucidation, and sufficient extensibility to incorporate various relevant information sources. To address these requirements, we have been developing an information fusion software platform called BioCAD. It is utilizing both of local and global optimization for bio-network inference, text mining techniques for network validation and annotation, and Web services-based workflow techniques. In addition, it includes an effective technique to elucidate network edges by integrating various information sources. This paper presents the whole architecture of BioCAD and essential modules for bio-network inference and analysis.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 1595935266
DOI 10.1145/1183535.1183536
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2006-11-10
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Systems biology Network inference Information fusion
Content Type Text
Resource Type Article
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