Cargando…
Deep Learning-Based HCS Image Analysis for the Enterprise
Drug discovery programs are moving increasingly toward phenotypic imaging assays to model disease-relevant pathways and phenotypes in vitro. These assays offer richer information than target-optimized assays by investigating multiple cellular pathways simultaneously and producing multiplexed readout...
Autores principales: | Steigele, Stephan, Siegismund, Daniel, Fassler, Matthias, Kustec, Marusa, Kappler, Bernd, Hasaka, Tom, Yee, Ada, Brodte, Annette, Heyse, Stephan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372584/ https://www.ncbi.nlm.nih.gov/pubmed/32432952 http://dx.doi.org/10.1177/2472555220918837 |
Ejemplares similares
-
Unified Software Solution for Efficient SPR Data Analysis in Drug Research
por: Dahl, Göran, et al.
Publicado: (2016) -
DeepPurpose: a deep learning library for drug–target interaction prediction
por: Huang, Kexin, et al.
Publicado: (2020) -
HCS08 unleashed: designer's guide to the HCS08 microcontrollers
por: Pereira, Fabio
Publicado: (2009) -
Globally optimal stitching of tiled 3D microscopic image acquisitions
por: Preibisch, Stephan, et al.
Publicado: (2009) -
DEEPrior: a deep learning tool for the prioritization of gene fusions
por: Lovino, Marta, et al.
Publicado: (2020)