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Titlebook: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics; 9th European Confere Clara Pizzuti,Marylyn D. Ritchie,Mario G

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樓主: Ferret
21#
發(fā)表于 2025-3-25 03:45:15 | 只看該作者
https://doi.org/10.1007/978-94-024-1172-0ing genetic programming, it extracts the activation functions of the different genes from those data. Successively, the gene regulatory network is reconstructed exploiting the automatic feature selection performed by genetic programming and its dynamics can be simulated using the previously extracte
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發(fā)表于 2025-3-25 10:39:46 | 只看該作者
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發(fā)表于 2025-3-26 00:45:47 | 只看該作者
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發(fā)表于 2025-3-26 06:08:18 | 只看該作者
Europe after Belgrade—Problems and Prospects chains are constituted. To achieve this aim we treated amino acid sequences of proteins as a formal language, building a Context-Free Grammar annotated using an n-gram Bayesian classifier. This formalism is able to analyze the connection between protein chains and protein functions. In order to des
28#
發(fā)表于 2025-3-26 10:16:00 | 只看該作者
29#
發(fā)表于 2025-3-26 13:12:05 | 只看該作者
https://doi.org/10.1057/9781137315113ording to their importance in the folding process: hydrophobicity, polarity, charge and residue size. Our evolutionary algorithm provides a set of rules which determine different cases where two amino acids are in contact. A rule represents two windows of three amino acids. Each amino acid is charac
30#
發(fā)表于 2025-3-26 19:38:23 | 只看該作者
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