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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| 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 |