A Method for Extracting Knowledge from Tumor Gene Expression Data

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.