Evaluation of combinations of in vitro sensitization test descriptors for the artificial neural network-based risk assessment model of skin sensitization.
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Integrated decision strategies for skin sensitization hazardMultivariate Models for Prediction of Human Skin Sensitization HazardHow Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.Prediction of skin sensitization potency using machine learning approaches.Development of an artificial neural network model for risk assessment of skin sensitization using human cell line activation test, direct peptide reactivity assay, KeratinoSens™ and in silico structure alert parameter.Application of IATA - A case study in evaluating the global and local performance of a Bayesian network model for skin sensitization.
P2860
Evaluation of combinations of in vitro sensitization test descriptors for the artificial neural network-based risk assessment model of skin sensitization.
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2015 nî lūn-bûn
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
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name
Evaluation of combinations of ...... t model of skin sensitization.
@en
type
label
Evaluation of combinations of ...... t model of skin sensitization.
@en
prefLabel
Evaluation of combinations of ...... t model of skin sensitization.
@en
P2093
P2860
P356
P1476
Evaluation of combinations of ...... t model of skin sensitization.
@en
P2093
Akemi Toyoda
Daiki Kyotani
Daisuke Sekiya
Hirokazu Seto
Kenji Okamoto
Masaaki Miyazawa
Masaharu Fujita
Miyuki Fujishiro
Morihiko Hirota
Noriyasu Imai
P2860
P304
P356
10.1002/JAT.3105
P407
P577
2015-03-30T00:00:00Z