Causal inference methods to assist in mechanistic interpretation of classification nano-SAR models
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A Review of Recent Advances towards the Development of (Quantitative) Structure-Activity Relationships for Metallic Nanomaterials.Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials.Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches.Causation or only correlation? Application of causal inference graphs for evaluating causality in nano-QSAR models.How the toxicity of nanomaterials towards different species could be simultaneously evaluated: a novel multi-nano-read-across approach.Modeling of Interactions between the Zebrafish Hatching Enzyme ZHE1 and A Series of Metal Oxide Nanoparticles: Nano-QSAR and Causal Analysis of Inactivation Mechanisms.Combined experimental and computational approach to developing efficient photocatalysts based on Au/Pd–TiO2 nanoparticles
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P2860
Causal inference methods to assist in mechanistic interpretation of classification nano-SAR models
description
article
@en
im Jahr 2015 veröffentlichter wissenschaftlicher Artikel
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wetenschappelijk artikel
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наукова стаття, опублікована у 2015
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name
Causal inference methods to as ...... classification nano-SAR models
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Causal inference methods to as ...... classification nano-SAR models
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type
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Causal inference methods to as ...... classification nano-SAR models
@en
Causal inference methods to as ...... classification nano-SAR models
@nl
prefLabel
Causal inference methods to as ...... classification nano-SAR models
@en
Causal inference methods to as ...... classification nano-SAR models
@nl
P2860
P50
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Causal inference methods to as ...... classification nano-SAR models
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P2093
Elena Mokshyna
Victor E. Kuz'min
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P304
77739-77745
P356
10.1039/C5RA11399G
P577
2015-01-01T00:00:00Z