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MycoMemSVM
Predicts mycobacterial membrane proteins and their types. MycoMemSVM is an online server and a binomial distribution-based feature selection technique able to select over-represented tripeptides. In the development of this method, the binomial distribution was used to pick out the over-represented tripeptides and the support vector machine (SVM) was used to perform prediction. This server can be helpful for the vast majority of experimental scientists who focus on mycobacterium and antimicrobial drugs.
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