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Competitive SWIFT cluster templates enhance detection of aging changes

Clustering‐based algorithms for automated analysis of flow cytometry datasets have achieved more efficient and objective analysis than manual processing. Clustering organizes flow cytometry data into subpopulations with substantially homogenous characteristics but does not directly address the impor...

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Bibliografische gegevens
Gepubliceerd in:Cytometry A
Hoofdauteurs: Rebhahn, Jonathan A., Roumanes, David R., Qi, Yilin, Khan, Atif, Thakar, Juilee, Rosenberg, Alex, Lee, F. Eun‐Hyung, Quataert, Sally A., Sharma, Gaurav, Mosmann, Tim R.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: John Wiley and Sons Inc. 2015
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4737406/
https://ncbi.nlm.nih.gov/pubmed/26441030
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.22740
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