Method and program for predicting gene network

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Biological or biochemical

Reexamination Certificate

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C702S020000

Reexamination Certificate

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07917300

ABSTRACT:
A gene network is predicted which can prevent a decrease in the amount of basic data. A gene network is predicted by retrieving indirect causal relationships the presence of which cannot be explained on the basis of direct causal relationships and/or indirect causal relationships the presence of which can be explained on the basis of the direct causal relationships and supplementing a network comprising the direct causal relationships with the retrieved indirect causal relationships.

REFERENCES:
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patent: 2004/0029154 (2004-02-01), Kyoda et al.
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patent: WO 02/38749 (2002-05-01), None
Morohashi et al. (Advances in Artificial Life: Proceedings of the 5th European Conference in Artificial Life, Sep. 13-17, 1999: pp. 477-486).
Noda et al. (Genome Informatics Workshop, vol. 9, pp. 141-150; Japanese Society for Bioinformatics, Dec. 10-11, 1998).
Written Opinion of the International Searching Authority, filing date May 24, 2005.
Kyoda et al., “A Gene Network Inference Method from Continuous-Value Gene Expression Data of Wild-Type and Mutants.” Genome Informatics, vol. 11, pp. 196-204, (2000).
Masahiro Okamoto, “Development of the Inference System of Large Scale Genetic Networks.” The Japanese Society for Artificial Intelligence, pp. 7-14, Nov. 13, 2000.
Kyoda et al.“DBRF-MEGN Method: An Algorithm for Deducing Minimum Equivalent Gene Networks from Large-Scale Gene Expression Profiles of Gene Deletion Mutants.” Bioinformatics vol. 20, No. 16, pp. 2662-2675, (May 27, 2004).

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