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Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data
The flood of high-dimensional data resulting from mass cytometry experiments that measure more than 40 features of individual cells has stimulated creation of new single cell computational biology tools. These tools draw on advances in the field of machine learning to capture multi-parametric relati...
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| Gepubliceerd in: | Methods |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2015
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4468028/ https://ncbi.nlm.nih.gov/pubmed/25979346 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ymeth.2015.05.008 |
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