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SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs
Existing methods for predicting protein crystallization obtain high accuracy using various types of complemented features and complex ensemble classifiers, such as support vector machine (SVM) and Random Forest classifiers. It is desirable to develop a simple and easily interpretable prediction meth...
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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science
2013
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3760885/ https://ncbi.nlm.nih.gov/pubmed/24019868 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0072368 |
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