Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6371314 | Journal of Theoretical Biology | 2012 | 10 Pages |
Abstract
⺠We present, a novel approach called “MemHyb-SVM” for predicting membrane protein types. ⺠This approach utilizes SAAC and PSSM based feature extraction strategies. ⺠Error correction code BCH is utilized. ⺠The performance of the proposed MemHyb-SVM is evaluated on two benchmark datasets. ⺠It is observed that MemHyb-SVM provides better performance as compared to the existing approaches.
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Authors
Maqsood Hayat, Asifullah Khan,