Cargando…
Enhancing the drug discovery process: Bayesian inference for the analysis and comparison of dose–response experiments
MOTIVATION: The efficacy of a chemical compound is often tested through dose–response experiments from which efficacy metrics, such as the IC(50), can be derived. The Marquardt–Levenberg algorithm (non-linear regression) is commonly used to compute estimations for these metrics. The analysis are how...
Autores principales: | Labelle, Caroline, Marinier, Anne, Lemieux, Sébastien |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612849/ https://www.ncbi.nlm.nih.gov/pubmed/31510684 http://dx.doi.org/10.1093/bioinformatics/btz335 |
Ejemplares similares
-
Robust network inference using response logic
por: Gross, Torsten, et al.
Publicado: (2019) -
Inferring signalling dynamics by integrating interventional with observational data
por: Cardner, Mathias, et al.
Publicado: (2019) -
Bayesian metabolic flux analysis reveals intracellular flux couplings
por: Heinonen, Markus, et al.
Publicado: (2019) -
Summarizing the solution space in tumor phylogeny inference by multiple consensus trees
por: Aguse, Nuraini, et al.
Publicado: (2019) -
PRISM: methylation pattern-based, reference-free inference of subclonal makeup
por: Lee, Dohoon, et al.
Publicado: (2019)