| 摘要 |
The present invention provides a system for analyzing and screening disease related genes from microarray database. After normalizing the collected microarray datasets and related experiment data by using pre-processing unit, the relative important feature vector can be systematically extracted by the feature selection unit. The maximal likelihood discriminate rule of classification unit calculates probability statistics of the classification and diagonal quadratic discriminant analysis module is used to decide classification and set up disease prediction module. Also, the generalized rule induction information statistics calculation module of rule extraction unit is used to obtain organized information statistics and information theoretic rule induction algorithm module is employed to generate best relationship rule and associate rule module can be set up. By using present invention, the relationships between diseases and related genes can be accurately and rapidly identified, a solid foundation can be set up for the afterward diagnostic and treatment.
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