Cargando…
Key challenges facing data-driven multicellular systems biology
Increasingly sophisticated experiments, coupled with large-scale computational models, have the potential to systematically test biological hypotheses to drive our understanding of multicellular systems. In this short review, we explore key challenges that must be overcome to achieve robust, repeata...
Autor principal: | Macklin, Paul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812467/ https://www.ncbi.nlm.nih.gov/pubmed/31648301 http://dx.doi.org/10.1093/gigascience/giz127 |
Ejemplares similares
-
PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems
por: Ghaffarizadeh, Ahmadreza, et al.
Publicado: (2018) -
A generalizable data-driven multicellular model of pancreatic ductal adenocarcinoma
por: Aguilar, Boris, et al.
Publicado: (2020) -
Digitize your Biology! Modeling multicellular systems through interpretable cell behavior
por: Johnson, Jeanette A.I., et al.
Publicado: (2023) -
Challenges of applying multicellular tumor spheroids in preclinical phase
por: Han, Se Jik, et al.
Publicado: (2021) -
Biological soliton in multicellular movement
por: Kuwayama, Hidekazu, et al.
Publicado: (2013)