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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...
Gorde:
| Argitaratua izan da: | BMC Genomics |
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| Egile Nagusiak: | , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2019
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| Gaiak: | |
| Sarrera elektronikoa: | 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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