| Presentation | 2005-02-24 Biological network inference via kernel matrix completion Tsuyoshi KATO, Koji TSUDA, Kiyoshi ASAI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Inferring networks of proteins from biological data is a central issue of computational biology. Most network inference methods, including Bayesian networks, take unsupervised approaches in which the network is totally unknown in the beginning, and all the edges have to be predicted. We propose a new kernel-based method for supervised graph inference based on multiple types of biological data such as gene expression, phylogenetic profiles, and amino acid sequences. Our approach is favorably tested in two biological networks : a metabolic network and a protein interaction network. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | biological network / supervised network inference / kernel matrix completion / EM algorithm |
| Paper # | NLC2004-97,PRMU2004-179 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2005/2/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Biological network inference via kernel matrix completion |
| Sub Title (in English) | |
| Keyword(1) | biological network |
| Keyword(2) | supervised network inference |
| Keyword(3) | kernel matrix completion |
| Keyword(4) | EM algorithm |
| 1st Author's Name | Tsuyoshi KATO |
| 1st Author's Affiliation | AIST Computational Biology Research Center() |
| 2nd Author's Name | Koji TSUDA |
| 2nd Author's Affiliation | AIST Computational Biology Research Center:Max Planck Institute for Biological Cybernetics |
| 3rd Author's Name | Kiyoshi ASAI |
| 3rd Author's Affiliation | Graduate School of Frontier Sciences, The University of Tokyo:AIST Computational Biology Research Center |
| Date | 2005-02-24 |
| Paper # | NLC2004-97,PRMU2004-179 |
| Volume (vol) | vol.104 |
| Number (no) | 667 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |