Method for processing expression data of genes
AssigneeNagoya Industrial Science Research Institute
InventorsTakeshi Kobayashi, Hiroyuki Honda, Taizo Hanai, Tatsuya Ando
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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.
Claims13
A method for processing expression data of genes, said method comprising:
- a gene selection step of processing expression data of specimen genes using a SWEEP operator method and a parameter increasing method and selecting genes to be processed, and
- a FNN model constructing step of constructing a FNN model by making expression data of said genes to be processed as input variables.
A method for selecting genes, wherein expression data of specimen genes are processed by a SWEEP operator method and genes to be processed are selected.
A method for processing expression data of genes, said method comprising:
- a gene selection step of processing expression data of specimen genes using a SWEEP operator method and selecting genes to be processed, and
- a FNN model constructing step of constructing a FNN model by making expression data of said genes to be processed as input variables.
A method for diagnosing genes, wherein the predetermined number of genes are processed using a FNN model.
A program for processing expression data of specimen genes, said program for making a computer execute
- a gene selection step of processing expression data of specimen genes using a SWEEP operator method and a parameter increasing method and selecting genes to be processed, and
- a FNN model constructing step of constructing a FNN model by making expression data of said genes to be processed as input variables.
A method for processing protein mass data, said method comprising:
- a protein selection step of processing specimen proteins mass data using a SWEEP operator method and a parameter increasing method and selecting proteins to be processed, and
- a FNN model constructing step of constructing a FNN model by making said proteins data to be processed as input variables.
Dependencies are inferred from the claim text.