Analýza cytometrických dat (Czech Wikipedia)

Analysis of information sources in references of the Wikipedia article "Analýza cytometrických dat" in Czech language version.

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beckman.com

doi.org

  • LOKEN, M. R. Establishing optimal lymphocyte gates for immunophenotyping by flow cytometry. Cytometry. 1990, roč. 11, čís. 4, s. 453–459. ISSN 0196-4763. doi:10.1002/cyto.990110402. 
  • ROEDERER, Mario. Spectral compensation for flow cytometry: Visualization artifacts, limitations, and caveats. Cytometry. 2001, roč. 45, čís. 3, s. 194–205. ISSN 1097-0320. doi:10.1002/1097-0320(20011101)45:3<194::AID-CYTO1163>3.0.CO;2-C. 
  • WEBER, Lukas M.; ROBINSON, Mark. Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data. Cytometry Part A. 2016, roč. 89, čís. 12, s. 1084–1096. ISSN 1552-4930. doi:10.1002/cyto.a.23030. 
  • VAN GASSEN, Sofie. FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data. Cytometry. Part A: The Journal of the International Society for Analytical Cytology. 2015, roč. 87, čís. 7, s. 636–645. ISSN 1552-4930. doi:10.1002/cyto.a.22625. 
  • SAMUSIK, Nikolay. Automated mapping of phenotype space with single-cell data. Nature Methods. 2016, roč. 13, čís. 6, s. 493–496. ISSN 1548-7105. doi:10.1038/nmeth.3863. 

flowjo.com

sourceforge.net

worldcat.org

  • LOKEN, M. R. Establishing optimal lymphocyte gates for immunophenotyping by flow cytometry. Cytometry. 1990, roč. 11, čís. 4, s. 453–459. ISSN 0196-4763. doi:10.1002/cyto.990110402. 
  • ROEDERER, Mario. Spectral compensation for flow cytometry: Visualization artifacts, limitations, and caveats. Cytometry. 2001, roč. 45, čís. 3, s. 194–205. ISSN 1097-0320. doi:10.1002/1097-0320(20011101)45:3<194::AID-CYTO1163>3.0.CO;2-C. 
  • WEBER, Lukas M.; ROBINSON, Mark. Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data. Cytometry Part A. 2016, roč. 89, čís. 12, s. 1084–1096. ISSN 1552-4930. doi:10.1002/cyto.a.23030. 
  • VAN GASSEN, Sofie. FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data. Cytometry. Part A: The Journal of the International Society for Analytical Cytology. 2015, roč. 87, čís. 7, s. 636–645. ISSN 1552-4930. doi:10.1002/cyto.a.22625. 
  • SAMUSIK, Nikolay. Automated mapping of phenotype space with single-cell data. Nature Methods. 2016, roč. 13, čís. 6, s. 493–496. ISSN 1548-7105. doi:10.1038/nmeth.3863.