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1. An information theoretic approach for improving data driven prediction of protein model quality

Author

Montuori, Alfonso, Raimondo, Giovanni, and Pasero, Eros

Subjects
*INFORMATION theory, *PROTEINS, *ARTIFICIAL neural networks, *PROTEIN analysis, *PROBABILITY theory
Abstract

Abstract: We present the results of an information theory-based approach to select an optimal subset of features for the prediction of protein model quality. The optimal subset of features was calculated by means of a backward selection procedure. The performances of a probabilistic classifier modeled by means of a Kernel Probability Density Estimation method (KPDE) were compared with those of a feed-forward Artificial Neural Network (ANN) and a Support Vector Machine (SVM). [Copyright &y& Elsevier]

Published
2008
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