Feature Selection for Data Driven Prediction of Protein Model Quality

Abstract

Features selection to assess the accuracy of a protein three-dimensional model, when only the protein sequence is known, is a challenging task because it is not clear which features are most important and how they should best be combined. We present the results of an information theory-based approach to select an optimal subset of features for the… (More)
DOI: 10.1109/IJCNN.2006.247365

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@article{Montuori2006FeatureSF, title={Feature Selection for Data Driven Prediction of Protein Model Quality}, author={Alfonso Montuori and Luisa Pugliese and Giovanni Raimondo and Eros Pasero}, journal={The 2006 IEEE International Joint Conference on Neural Network Proceedings}, year={2006}, pages={3561-3565} }