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Figure 1 | BMC Bioinformatics

Figure 1

From: An improved sequence based prediction protocol for DNA-binding proteins using SVM and comprehensive feature analysis

Figure 1

The overall workflow of the present method. Firstly, the input amino acid sequence is represented numerically by four kinds of features. Secondly, these feature values are transformed to feature descriptor matrices from three different levels. Thirdly, the first round of the evaluation is adopted based on the original descriptor pool and individual SVM models obtained. At last, mRMR-IFS feature selection method and ensemble learning approach are applied as the final evaluation of the optimal SVM model.

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BMC Bioinformatics

ISSN: 1471-2105

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