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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...
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| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5012073/ https://ncbi.nlm.nih.gov/pubmed/27600248 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1235-y |
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