A probabilistic model for cell population phenotyping using HCS data.
High Content Screening (HCS) platforms allow screening living cells under a wide range of experimental conditions and give access to a whole panel of cellular responses to a specific treatment. The outcome is a series of cell population images. Within these images, the heterogeneity of cellular resp...
Guardado en:
Autores principales: | Edouard Pauwels, Didier Surdez, Gautier Stoll, Aurianne Lescure, Elaine Del Nery, Olivier Delattre, Véronique Stoven |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2012
|
Materias: | |
Acceso en línea: | https://doaj.org/article/dd89a1846ccc47a3ba049ec3c745a655 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Synthetic data generation with probabilistic Bayesian Networks
por: Grigoriy Gogoshin, et al.
Publicado: (2021) -
La prospectiva como marco de análisis para el aprovechamiento turístico de los hongos comestibles silvestres (HCS) en el centro de México
por: Raúl Gómez Vázquez, et al.
Publicado: (2019) -
A probabilistic approach to dispersal in spatially explicit meta-populations
por: Rajat Karnatak, et al.
Publicado: (2020) -
Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data
por: Noslen Hernández, et al.
Publicado: (2021) -
Inference of the infection status of individuals using longitudinal testing data from cryptic populations: Towards a probabilistic approach to diagnosis
por: Svetlana N. Buzdugan, et al.
Publicado: (2017)