Biological Knowledge Integration in DNA Microarray Gene Expression Classification Based on Rough Set Theory
DNA microarrays have contributed to the exponential growth of genetic data from years. One of the possible applications of this large amount of gene expression data diagnosis of diseases like cancer using classification methods. In turn, explicit biological knowledge about gene functions has also grown tremendously over the last decade. This work integrates explicit biological knowledge in classification process using Rough Set Theory, making it more effective. In addition, the proposed model is able to indicate which part of biological knowledge has been used building the model and classifing new samples.
KeywordsDNA microarray classification Biological Knowledge Principal Component Analysis Discriminant Fuzzy Pattern Rough Sets Basic Category
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