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| 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 | |
| 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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