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Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty
BACKGROUND: Single-cell gene expression measurements offer opportunities in deriving mechanistic understanding of complex diseases, including cancer. However, due to the complex regulatory machinery of the cell, gene regulatory network (GRN) model inference based on such data still manifests signifi...
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| Publicado no: | BMC Genomics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6561847/ https://ncbi.nlm.nih.gov/pubmed/31189480 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-019-5720-3 |
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