| K. Noda, A. Shinohara, M. Takeda, S. Matsumoto, S. Miyano, and S. Ku. Finding genetic network from experiments by weighted network model. Genome Informatics, 9:141--150, 1998. |
....launched a project whose purpose is to reveal the gene regulatory networks amsJ the 6,200 genes of Saccharomyces cerevis . We have introduced a weighted network model as an edge weighted graph, where each weight reflects the strength of the interaction, and analyzed itscom[ jWJwOjO comm[jW y [4]. We also proposed an algorithm to adjust the weightsincremj tally. Based on the algorithm we have been developing a system to find genetic networks and visualizethem [3] One of the meJ seriousproblem in ourm del is that the network produced by oursystem mst t bedens , since we have not put any ....
Noda, K., S ino ara, A., Takeda, M., Matsumoto, S., Miyano, S., and Ku ara, S., Finding genetic network from experiments by weig ted network model, GenomeInformatic , 9:141--150, 1998.
No context found.
K. Noda, A. Shinohara, M. Takeda, S. Matsumoto, S. Miyano, and S. Ku. Finding genetic network from experiments by weighted network model. Genome Informatics, 9:141--150, 1998.
No context found.
K. Noda, A. Shinohara, M. Takeda, S. Matsumoto, S. Miyano, and S. Kuhara, "Finding genetic network from experiments by weighted network model," Genome Informatics, vol. 9, pp. 141--150, 1998.
No context found.
K. Noda, A. Shinohara, M. Takeda, S. Matsumoto, S. Miyano, and S. Kuhara, "Finding genetic network from experiments by weighted network model," Genome Informatics, vol. 9, pp. 141--150, 1998.
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