Cargando…
SCENERY: a web application for (causal) network reconstruction from cytometry data
Flow and mass cytometry technologies can probe proteins as biological markers in thousands of individual cells simultaneously, providing unprecedented opportunities for reconstructing networks of protein interactions through machine learning algorithms. The network reconstruction (NR) problem has be...
Autores principales: | Papoutsoglou, Georgios, Athineou, Giorgos, Lagani, Vincenzo, Xanthopoulos, Iordanis, Schmidt, Angelika, Éliás, Szabolcs, Tegnér, Jesper, Tsamardinos, Ioannis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570263/ https://www.ncbi.nlm.nih.gov/pubmed/28525568 http://dx.doi.org/10.1093/nar/gkx448 |
Ejemplares similares
-
Challenges in the Multivariate Analysis of Mass Cytometry Data: The Effect of Randomization
por: Papoutsoglou, Georgios, et al.
Publicado: (2019) -
CausalMGM: an interactive web-based causal discovery tool
por: Ge, Xiaoyu, et al.
Publicado: (2020) -
Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells
por: Triantafillou, Sofia, et al.
Publicado: (2017) -
DOGMA: a web server for proteome and transcriptome quality assessment
por: Kemena, Carsten, et al.
Publicado: (2019) -
APPRIS WebServer and WebServices
por: Rodriguez, Jose Manuel, et al.
Publicado: (2015)