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In this paper we proposed a data mining method to find interesting relation among the small number of proteins and a quantitative trait from protein expression data. It is practically important to find small number of proteins which in combination effects on some characteristics of samples because it motivates further experiments to investigate the function of the proteins. Further, treating quantitative trait rather than categorical data is also practically important since considerable part of characteristics of samples is represented by quantitative values. Our data mining method apply discriminant analysis into protein expression data and quantitative trait data to derive interesting relations among them.