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Inferring gene regulatory networks from single-cell data: a mechanistic approach
BACKGROUND: The recent development of single-cell transcriptomics has enabled gene expression to be measured in individual cells instead of being population-averaged. Despite this considerable precision improvement, inferring regulatory networks remains challenging because stochasticity now proves t...
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| Veröffentlicht in: | BMC Syst Biol |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5697158/ https://ncbi.nlm.nih.gov/pubmed/29157246 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-017-0487-0 |
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