Cargando…
A recursive framework for predicting the time-course of drug sensitivity
The biological processes involved in a drug’s mechanisms of action are oftentimes dynamic, complex and difficult to discern. Time-course gene expression data is a rich source of information that can be used to unravel these complex processes, identify biomarkers of drug sensitivity and predict the r...
Autores principales: | Qian, Cheng, Emad, Amin, Sidiropoulos, Nicholas D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573611/ https://www.ncbi.nlm.nih.gov/pubmed/33077880 http://dx.doi.org/10.1038/s41598-020-74725-2 |
Ejemplares similares
-
Recursive regularization for inferring gene networks from time-course gene expression profiles
por: Shimamura, Teppei, et al.
Publicado: (2009) -
Syntactic Recursion Facilitates and Working Memory Predicts Recursive Theory of Mind
por: Arslan, Burcu, et al.
Publicado: (2017) -
Recursive Minimum Complex Kernel Risk-Sensitive Loss Algorithm
por: Qian, Guobing, et al.
Publicado: (2018) -
On recursion
por: Watumull, Jeffrey, et al.
Publicado: (2014) -
Anticancer drug sensitivity prediction in cell lines from baseline gene expression through recursive feature selection
por: Dong, Zuoli, et al.
Publicado: (2015)