A data-driven weighting scheme for multivariate phenotypic endpoints recapitulates zebrafish developmental cascades.

Zhang, Guozhu; Roell, Kyle R; Truong, Lisa; Tanguay, Robert L; Reif, David M

Zhang, Guozhu; Roell, Kyle R; Truong, Lisa; Tanguay, Robert L; Reif, David M.

Afiliação

Zhang G; Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA. Electronic address: gzhang6@ncsu.edu.
Roell KR; Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA. Electronic address: krroell@ncsu.edu.
Truong L; Department of Environmental and Molecular Toxicology, Sinnhuber Aquatic Research Laboratory, Oregon State University, Corvallis, OR, USA. Electronic address: lisa.truong@oregonstate.edu.
Tanguay RL; Department of Environmental and Molecular Toxicology, Sinnhuber Aquatic Research Laboratory, Oregon State University, Corvallis, OR, USA. Electronic address: robert.tanguay@oregonstate.edu.
Reif DM; Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA; Department of Biological Sciences, Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA. Electronic address: dmreif@ncsu.edu.

Toxicol Appl Pharmacol ; 314: 109-117, 2017 Jan 01.

Article em En | MEDLINE | ID: mdl-27884602

Assuntos

Peixe-Zebra/embriologia; Animais; Modelos Teóricos; Análise Multivariada; Fenótipo

Palavras-chave

Bayesian; Developmental cascade; High-dimensional; Multiple endpoints; Multivariate; Risk assessment; Scoring; ToxRefDB; Zebrafish

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peixe-Zebra Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Toxicol Appl Pharmacol Ano de publicação: 2017 Tipo de documento: Article

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