Cargando…
bayesynergy: flexible Bayesian modelling of synergistic interaction effects in in vitro drug combination experiments
The effect of cancer therapies is often tested pre-clinically via in vitro experiments, where the post-treatment viability of the cancer cell population is measured through assays estimating the number of viable cells. In this way, large libraries of compounds can be tested, comparing the efficacy o...
Autores principales: | Rønneberg, Leiv, Cremaschi, Andrea, Hanes, Robert, Enserink, Jorrit M, Zucknick, Manuela |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575029/ https://www.ncbi.nlm.nih.gov/pubmed/34308471 http://dx.doi.org/10.1093/bib/bbab251 |
Ejemplares similares
-
screenwerk: a modular tool for the design and analysis of drug combination screens
por: Hanes, Robert, et al.
Publicado: (2022) -
Dose–response prediction for in-vitro drug combination datasets: a probabilistic approach
por: Rønneberg, Leiv, et al.
Publicado: (2023) -
Chemical Genetics: Budding Yeast as a Platform for Drug Discovery and Mapping of Genetic Pathways
por: Enserink, Jorrit M.
Publicado: (2012) -
Discovery of novel candidates for anti-liposarcoma therapies by medium-scale high-throughput drug screening
por: Grad, Iwona, et al.
Publicado: (2021) -
Sumo and the cellular stress response
por: Enserink, Jorrit M.
Publicado: (2015)