SCNS: a graphical tool for reconstructing executable regulatory networks from single-cell genomic data

BACKGROUND: Reconstruction of executable mechanistic models from single-cell gene expression data represents a powerful approach to understanding developmental and disease processes. New ambitious efforts like the Human Cell Atlas will soon lead to an explosion of data with potential for uncovering...

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Detalles Bibliográficos
Autores principales: Woodhouse, Steven, Piterman, Nir, Wintersteiger, Christoph M., Göttgens, Berthold, Fisher, Jasmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970485/
https://www.ncbi.nlm.nih.gov/pubmed/29801503
http://dx.doi.org/10.1186/s12918-018-0581-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970485/
https://www.ncbi.nlm.nih.gov/pubmed/29801503
http://dx.doi.org/10.1186/s12918-018-0581-y

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