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BioRssay: an R package for analyses of bioassays and probit graphs.
Karunarathne, Piyal; Pocquet, Nicolas; Labbé, Pierrick; Milesi, Pascal.
Afiliación
  • Karunarathne P; Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18D, SE-752 36, Uppsala, Sweden.
  • Pocquet N; Institut Pasteur de Nouvelle-Calédonie, URE-Entomologie Médicale, Nouméa, New Caledonia.
  • Labbé P; Institut Universitaire de France, 1 Rue Descartes, 75231 Cedex 05, Paris, France. pierrick.labbe@umontpellier.fr.
  • Milesi P; Institut Des Sciences de L'Evolution de Montpellier (UMR 5554, CNRS-UM-IRD-EPHE), Université de Montpellier, 34095 Cedex 5, Montpellier, France. pierrick.labbe@umontpellier.fr.
Parasit Vectors ; 15(1): 35, 2022 Jan 24.
Article en En | MEDLINE | ID: mdl-35073988
ABSTRACT
Dose-response relationships reflect the effects of a substance on organisms, and are widely used in broad research areas, from medicine and physiology, to vector control and pest management in agronomy. Furthermore, reporting on the response of organisms to stressors is an essential component of many public policies (e.g. public health, environment), and assessment of xenobiotic responses is an integral part of World Health Organization recommendations. Building upon an R script that we previously made available, and considering its popularity, we have now developed a software package in the R environment, BioRssay, to efficiently analyze dose-response relationships. It has more user-friendly functions and more flexibility, and proposes an easy interpretation of the results. The functions in the BioRssay package are built on robust statistical analyses to compare the dose/exposure-response of various bioassays and effectively visualize them in probit-graphs.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bioensayo / Programas Informáticos / Bioestadística Límite: Animals / Humans Idioma: En Revista: Parasit Vectors Año: 2022 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bioensayo / Programas Informáticos / Bioestadística Límite: Animals / Humans Idioma: En Revista: Parasit Vectors Año: 2022 Tipo del documento: Article País de afiliación: Suecia