Dose–response prediction for in-vitro drug combination datasets: a probabilistic approach

In this paper we propose PIICM, a probabilistic framework for dose–response prediction in high-throughput drug combination datasets. PIICM utilizes a permutation invariant version of the intrinsic co-regionalization model for multi-output Gaussian process regression, to predict dose–response surface...

Descripción completa

Detalles Bibliográficos
Autores principales: Rønneberg, Leiv, Kirk, Paul D. W., Zucknick, Manuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120211/
https://www.ncbi.nlm.nih.gov/pubmed/37085771
http://dx.doi.org/10.1186/s12859-023-05256-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120211/
https://www.ncbi.nlm.nih.gov/pubmed/37085771
http://dx.doi.org/10.1186/s12859-023-05256-6

Ejemplares similares