Cliburn Chan

Affiliations: 
Computational Biology and Bioinformatics Duke University, Durham, NC 
Area:
Bioinformatics Biology, Immunology, Computer Science
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"Cliburn Chan"
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Publications

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Yi JS, Rosa-Bray M, Staats J, et al. (2019) Establishment of normative ranges of the healthy human immune system with comprehensive polychromatic flow cytometry profiling. Plos One. 14: e0225512
Pedersen NW, Chandran PA, Qian Y, et al. (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. 8: 858
Gaillard S, Dumbauld C, Bilewski A, et al. (2017) Evaluating the repertoire of immune checkpoint markers expressed on peripheral and ascites CD8+ T cells in ovarian cancer. Journal of Clinical Oncology. 35: 5571-5571
Lin L, Chan C, West M. (2015) Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies. Biostatistics (Oxford, England)
Kvistborg P, Gouttefangeas C, Aghaeepour N, et al. (2015) Thinking outside the gate: single-cell assessments in multiple dimensions. Immunity. 42: 591-2
Gouttefangeas C, Chan C, Attig S, et al. (2015) Data analysis as a source of variability of the HLA-peptide multimer assay: from manual gating to automated recognition of cell clusters. Cancer Immunology, Immunotherapy : Cii. 64: 585-98
White S, Laske K, Welters MJ, et al. (2014) Managing Multi-center Flow Cytometry Data for Immune Monitoring. Cancer Informatics. 13: 111-22
Richards AJ, Staats J, Enzor J, et al. (2014) Setting objective thresholds for rare event detection in flow cytometry. Journal of Immunological Methods. 409: 54-61
Cron A, Gouttefangeas C, Frelinger J, et al. (2013) Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples. Plos Computational Biology. 9: e1003130
Lin L, Chan C, Hadrup SR, et al. (2013) Hierarchical Bayesian mixture modelling for antigen-specific T-cell subtyping in combinatorially encoded flow cytometry studies. Statistical Applications in Genetics and Molecular Biology. 12: 309-31
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