BTR: training asynchronous Boolean models using single-cell expression data

BACKGROUND: Rapid technological innovation for the generation of single-cell genomics data presents new challenges and opportunities for bioinformatics analysis. One such area lies in the development of new ways to train gene regulatory networks. The use of single-cell expression profiling technique...

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Detalles Bibliográficos
Autores principales: Lim, Chee Yee, Wang, Huange, Woodhouse, Steven, Piterman, Nir, Wernisch, Lorenz, Fisher, Jasmin, Göttgens, Berthold
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012073/
https://www.ncbi.nlm.nih.gov/pubmed/27600248
http://dx.doi.org/10.1186/s12859-016-1235-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012073/
https://www.ncbi.nlm.nih.gov/pubmed/27600248
http://dx.doi.org/10.1186/s12859-016-1235-y

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