Construction and Consensus Performance of (Q)SAR Models for Predicting Phospholipidosis Using a Dataset of 743 Compounds.
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Nonlinear dimensionality reduction for visualizing toxicity data: distance-based versus topology-based approaches.Toward a unifying strategy for the structure-based prediction of toxicological endpoints.From the Cover: Potentiation of Drug-Induced Phospholipidosis In Vitro through PEGlyated Graphene Oxide as the Nanocarrier.
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Construction and Consensus Performance of (Q)SAR Models for Predicting Phospholipidosis Using a Dataset of 743 Compounds.
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2012 nî lūn-bûn
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2012年の論文
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2012年論文
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name
Construction and Consensus Per ...... ng a Dataset of 743 Compounds.
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Construction and Consensus Performance of
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type
label
Construction and Consensus Per ...... ng a Dataset of 743 Compounds.
@en
Construction and Consensus Performance of
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Construction and Consensus Per ...... ng a Dataset of 743 Compounds.
@en
Construction and Consensus Performance of
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P2093
P2860
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Construction and Consensus Per ...... ng a Dataset of 743 Compounds.
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P2093
Amabel M Orogo
Barbara L Minnier
Naomi L Kruhlak
Sydney S Choi
P2860
P304
P356
10.1002/MINF.201200048
P577
2012-09-07T00:00:00Z