Jacob Frelinger, Ph.D.

Affiliations: 
2013 Computational Biology and Bioinformatics Duke University, Durham, NC 
Area:
Bioinformatics Biology, Immunology, Computer Science
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"Jacob Frelinger"

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Cliburn Chan grad student 2013 Duke
 (Computational Methods for Comparative Analysis of Rare Cell Subsets in Flow Cytometry.)
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Publications

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Lin L, Frelinger J, Jiang W, et al. (2015) Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 87: 675-82
Finak G, Frelinger J, Jiang W, et al. (2014) OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis. Plos Computational Biology. 10: e1003806
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
Cron A, Gouttefangeas C, Frelinger J, et al. (2013) Comparison of accuracy, reproducibility and linearity of manual gating, DPGMM and HDPGMM. Plos Computational Biology
Chan C, Lin L, Frelinger J, et al. (2010) Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 77: 1126-36
Suchard MA, Wang Q, Chan C, et al. (2010) Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 19: 419-438
Frelinger J, Ottinger J, Gouttefangeas C, et al. (2010) Modeling flow cytometry data for cancer vaccine immune monitoring. Cancer Immunology, Immunotherapy : Cii. 59: 1435-41
Frelinger J, Kepler TB, Chan C. (2008) Flow: Statistics, visualization and informatics for flow cytometry. Source Code For Biology and Medicine. 3: 10
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