Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers

被引：0
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作者：
J Nikolaj Dybowski
Mona Riemenschneider
Sascha Hauke
Martin Pyka
Jens Verheyen
Daniel Hoffmann
Dominik Heider
机构：
[1] University of Duisburg-Essen,Department of Bioinformatics, Center of Medical Biotechnology
[2] University of Münster,Leibniz Institute for Arteriosclerosis Research
[3] Technische Universität Darmstadt,CASED
[4] University of Marburg,Department of Psychiatry
[5] Institute of Virology,undefined
[6] University of Cologne,undefined
来源：
BioData Mining | / 4卷
关键词：
Random Forest; Classifier Ensemble; Random Forest Model; Good Prediction Performance; Hydrophobicity Scale;
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