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