Article ID Journal Published Year Pages File Type
6371314 Journal of Theoretical Biology 2012 10 Pages PDF
Abstract
► We present, a novel approach called “MemHyb-SVM” for predicting membrane protein types. ► This approach utilizes SAAC and PSSM based feature extraction strategies. ► Error correction code BCH is utilized. ► The performance of the proposed MemHyb-SVM is evaluated on two benchmark datasets. ► It is observed that MemHyb-SVM provides better performance as compared to the existing approaches.
Related Topics
Life Sciences Agricultural and Biological Sciences Agricultural and Biological Sciences (General)
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