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An SVM Model Based on Physicochemical Properties to Predict Antimicrobial Activity from Protein Sequences with Cysteine Knot Motifs

Advances in Bioinformatics and Computational Biology Lecture Notes in Computer Science(2010)

Cited 36|Views1
Key words
Support Vector Machine,Antimicrobial Peptides,Physicochemical Properties,Cysteine Knot Motif,Machine Learning
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