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Applying Machine Learning Techniques to Analysis of Gene Expression Data: Cancer Diagnosises including the ability of finding important genes for cancer classification, revealing relationships among genes, and classifying cancer. This paper reports on comparative evaluation of the experimental results of these methods.

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he structure of conservation laws, thermodynamical identities, and connection with criteria for well-posedness of the corresponding mathematical problems. .The theory presented in this book stems from research carried out by the authors concerning the formulations of differential equations describin

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