A Method for Extracting Knowledge from Tumor Gene Expression Data
LI Ying-xin1, LIU Quan-jin2, RUAN Xiao-gang1
1. School of Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100022,China;2. Department of Physics,Anqing Normal College,Anqing,Anhui 246011,China
Abstract：Based on the gene expression profiles of multiple myeloma,a method was proposed for knowledge discovery using data mining and machine learning methods.We used the information gain as the criterion of each gene for classification,and got a set of informative genes using artificial neural networks.Identified by decision tree algorithm,production rules were discovered as references for biomedical researchers.The effectiveness of the method we proposed is proved by experimental results.The method can also be used as a tool for gene expression analysis in the research of biomedicine and biotechnology.
李颖新;刘全金;阮晓钢. 一种肿瘤基因表达数据的知识提取方法[J]. 电子学报, 2004, 32(9): 1479-1482.
LI Ying-xin;LIU Quan-jin;RUAN Xiao-gang. A Method for Extracting Knowledge from Tumor Gene Expression Data. Chinese Journal of Electronics, 2004, 32(9): 1479-1482.
2004, Vol. 32 
