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Proceedings of the Twentieth International Conference on Machine Learning, 1995
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Proceedings of the Twentieth International Conference on Machine Learning, 1995
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Abstract:
A method of quantitative comparison of two classifications rules applied to protein folding problem is presented. Classification of proteins based on sequence homology and based on amino acid composition were compared and analyzed according to this approach. The coefficient of correlation between these classification methods and the procedure of estimation of robustness of the coefficient are discussed.
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Proceedings of the Twentieth International Conference on Machine Learning, 1995