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pro vyhledávání: '"Kivin Jakobsen"'
Autor:
Natasja Wulff Pedersen, P. Anoop Chandran, Yu Qian, Jonathan Rebhahn, Nadia Viborg Petersen, Mathilde Dalsgaard Hoff, Scott White, Alexandra J. Lee, Rick Stanton, Charlotte Halgreen, Kivin Jakobsen, Tim Mosmann, Cécile Gouttefangeas, Cliburn Chan, Richard H. Scheuermann, Sine Reker Hadrup
Publikováno v:
Frontiers in Immunology, Vol 8 (2017)
Manual analysis of flow cytometry data and subjective gate-border decisions taken by individuals continue to be a source of variation in the assessment of antigen-specific T cells when comparing data across laboratories, and also over time in individ
Externí odkaz:
https://doaj.org/article/1b4a566cddc84e09ac4febc3dbb62543
Autor:
Cliburn Chan, Kivin Jakobsen, Charlotte Halgreen, Rick Stanton, Natasja Wulff Pedersen, Sine Reker Hadrup, Cécile Gouttefangeas, P. Anoop Chandran, Jonathan Rebhahn, Scott R. White, Richard H. Scheuermann, Mathilde Dalsgaard Hoff, Tim R. Mosmann, Alexandra J. Lee, Yu Qian, Nadia Viborg Petersen
Publikováno v:
Frontiers in Immunology
Pedersen, N W, Chandran, P A, Qian, Y, Rebhahn, J, Petersen, N V, Hoff, M D, White, S, Lee, A J, Stanton, R, Halgreen, C, Jakobsen, K, Mosmann, T, Gouttefangeas, C, Chan, C, Scheuermann, R H & Hadrup, S R 2017, ' Automated Analysis of Flow Cytometry Data to Reduce Inter-Lab Variation in the Detection of Major Histocompatibility Complex Multimer-Binding T Cells ', Frontiers in Immunology, vol. 8, 858 . https://doi.org/10.3389/fimmu.2017.00858
Frontiers in Immunology, Vol 8 (2017)
Pedersen, N W, Chandran, P A, Qian, Y, Rebhahn, J, Petersen, N V, Hoff, M D, White, S, Lee, A J, Stanton, R, Halgreen, C, Jakobsen, K, Mosmann, T, Gouttefangeas, C, Chan, C, Scheuermann, R H & Hadrup, S R 2017, ' Automated Analysis of Flow Cytometry Data to Reduce Inter-Lab Variation in the Detection of Major Histocompatibility Complex Multimer-Binding T Cells ', Frontiers in Immunology, vol. 8, 858 . https://doi.org/10.3389/fimmu.2017.00858
Frontiers in Immunology, Vol 8 (2017)
Manual analysis of flow cytometry data and subjective gate-border decisions taken by individuals continue to be a source of variation in the assessment of antigen-specific T cells when comparing data across laboratories, and also over time in individ