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Background The Top Scoring Pair (TSP) classifier, based on the concept of relative ranking reversals in the expressions of pairs of genes, has been proposed as a simple, accurate, and easily interpretable decision rule for classification and class prediction of gene expression profiles. The idea that differences in gene expression ranking are associated with presence or absence of disease is compelling...
The main goal of successful Microarray data classification is to reduce the computational time while improving the classification accuracy. Though a large pool of techniques are already available, accurate classification of normal and malignant tissue cells is very challenging for the diagnosis of various types of cancers in humans. In this paper, Support Vector Machines (SVM), Naïve Bayesian and...
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