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This paper uses the SVM to predict the protein disordered region. Nevertheless, the number of features used in this paper is 440. Both time and space complexity is high while performing the support vector machine (SVM) training and testing. So this paper proposes a hybrid feature selection mechanism to reduce the dimensionality of the feature space. The filter and wrapper feature selection methods...
In proteomics, a proteinpsilas function is always strongly related to its structure. But, while some parts of a protein have a fixed definite structure, such as alpha-helix, beta-sheet, or coil, other parts are not associated with well-defined conformations. Previously, these so-called disordered regions were not thought to have a specific function of their own. But, recent studies suggest that some...
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