Method for processing expression data of genes

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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C702S019000, C702S020000, C703S011000, C706S002000, C706S013000, C706S924000

Reexamination Certificate

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06980974

ABSTRACT:
The expression data of specimen genes are processed using the SWEEP operator method and the parameter increasing method, and genes are selected. A FNN model is constructed by making the expression data of the selected genes as input variables.

REFERENCES:
Ando et al. Genome Informatics, vol. 12: 247-248, 2001.
Listing of papers presented in Genome Informatics vol. 12, 2001, which are also presented at the 12thInternational Conferenc on Genome Informatics held Dec. 17-19, 2001 in Japan. Printed on Dec. 9, 2004 from website http://www.jsbi.org/journal/GI12.html.
Ando et al., Jpn. J. Cancer Res., vol. 93, pp. 1207-1212, Nov., 2002.

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