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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...
Autores principales: | Lim, Chee Yee, Wang, Huange, Woodhouse, Steven, Piterman, Nir, Wernisch, Lorenz, Fisher, Jasmin, Göttgens, Berthold |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
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 |
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