Cargando…
Efficient discovery of responses of proteins to compounds using active learning
BACKGROUND: Drug discovery and development has been aided by high throughput screening methods that detect compound effects on a single target. However, when using focused initial screening, undesirable secondary effects are often detected late in the development process after significant investment...
Autores principales: | Kangas, Joshua D, Naik, Armaghan W, Murphy, Robert F |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030446/ https://www.ncbi.nlm.nih.gov/pubmed/24884564 http://dx.doi.org/10.1186/1471-2105-15-143 |
Ejemplares similares
-
Efficient Modeling and Active Learning Discovery of Biological Responses
por: Naik, Armaghan W., et al.
Publicado: (2013) -
Active machine learning-driven experimentation to determine compound effects on protein patterns
por: Naik, Armaghan W, et al.
Publicado: (2016) -
Deciding when to stop: efficient experimentation to learn to predict drug-target interactions
por: Temerinac-Ott, Maja, et al.
Publicado: (2015) -
Evaluation of categorical matrix completion algorithms: toward improved active learning for drug discovery
por: Sun, Huangqingbo, et al.
Publicado: (2021) -
Conserved non-AUG uORFs revealed by a novel regression analysis of ribosome profiling data
por: Spealman, Pieter, et al.
Publicado: (2018)