System and method for generating micro-array data classification model using radial basis functions

摘要

The present invention relates to a radial basis function classifier generating system and method to classify gene expression pattern appearing on micro-array for functional property. In the present invention, the representation coverage to be represented by classifier and the representation precision, instead of various variables, are set to be input variables and other variables required to generate classifier are automatically determined based on the given values of the input variables. Developer's selection of the values of variables is minimized and the unnecessary trial-and-errors are reduced. Developers understand easily meaning of such input variables and can predict the result of the selection of variables. Accordingly, the trial-and-errors due to meaningless selection of the values of the variables are reduced, so the classifier generation process can be optimized.