Titlebook: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics; 6th European Confere Elena Marchiori,Jason H. Moore Conferenc

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A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing,et to a minimum. The performance of the proposal was assessed for predicting hydrophobicity, using an ensemble of neural networks for the prediction task. The results showed that the evolutionary approach using a non linear fitness function constitutes a novel and a promising technique for this bioinformatic application.

大漩涡

On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Foldinntroduce a kernel function for assessing their similarity. Kernel-based analysis techniques empirically demonstrate a significant correlation between information contained into pseudo-folding trees and features of native folds in a large and non-redundant set of proteins.

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