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Bayesian Hierarchical Models for Protein Networks in Single-Cell Mass Cytometry
We propose a class of hierarchical models to investigate the protein functional network of cellular markers. We consider a novel data set from single-cell proteomics. The data are generated from single-cell mass cytometry experiments, in which protein expression is measured within an individual cell...
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| Veröffentlicht in: | Cancer Inform |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Libertas Academica
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4266200/ https://ncbi.nlm.nih.gov/pubmed/25574129 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/CIN.S13984 |
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