Mixed learning algorithms and features ensemble in hepatotoxicity prediction
10.1007/s10822-011-9468-3
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sg-nus-scholar.10635-1061532024-11-10T10:03:00Z Mixed learning algorithms and features ensemble in hepatotoxicity prediction Liew, C.Y. Lim, Y.C. Yap, C.W. PHARMACY Consensus Drug discovery Drug-induced liver injuries Ensemble Hepatotoxicity k-Nearest neighbor Meta-learner Mixed algorithm Mixed variables Naive Bayes Prediction QSTR Support vector machine 10.1007/s10822-011-9468-3 Journal of Computer-Aided Molecular Design 25 9 855-871 JCADE 2014-10-29T01:55:47Z 2014-10-29T01:55:47Z 2011-09 Article Liew, C.Y., Lim, Y.C., Yap, C.W. (2011-09). Mixed learning algorithms and features ensemble in hepatotoxicity prediction. Journal of Computer-Aided Molecular Design 25 (9) : 855-871. ScholarBank@NUS Repository. https://doi.org/10.1007/s10822-011-9468-3 0920654X http://scholarbank.nus.edu.sg/handle/10635/106153 000297134000006 Scopus |
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Consensus Drug discovery Drug-induced liver injuries Ensemble Hepatotoxicity k-Nearest neighbor Meta-learner Mixed algorithm Mixed variables Naive Bayes Prediction QSTR Support vector machine |
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Consensus Drug discovery Drug-induced liver injuries Ensemble Hepatotoxicity k-Nearest neighbor Meta-learner Mixed algorithm Mixed variables Naive Bayes Prediction QSTR Support vector machine Liew, C.Y. Lim, Y.C. Yap, C.W. Mixed learning algorithms and features ensemble in hepatotoxicity prediction |
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10.1007/s10822-011-9468-3 |
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PHARMACY |
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PHARMACY Liew, C.Y. Lim, Y.C. Yap, C.W. |
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Liew, C.Y. Lim, Y.C. Yap, C.W. |
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Liew, C.Y. |
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Mixed learning algorithms and features ensemble in hepatotoxicity prediction |
title_short |
Mixed learning algorithms and features ensemble in hepatotoxicity prediction |
title_full |
Mixed learning algorithms and features ensemble in hepatotoxicity prediction |
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Mixed learning algorithms and features ensemble in hepatotoxicity prediction |
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Mixed learning algorithms and features ensemble in hepatotoxicity prediction |
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mixed learning algorithms and features ensemble in hepatotoxicity prediction |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/106153 |
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