Introduction
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Importance of FlowCAP from the DAIT/NIH Perspective
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Daniel Rotrosen, Division of Allergy, Immunology, and Transplantation, NIH
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Session 1 - Informatics Challenges in Flow Cytometry
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FITMaN/HIPC Standardization of Immunophenotyping
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Philip McCoy, NHLBI, NIH
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Tolerance Assay & Data Analysis
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Deborah Phippard - Immune Tolerance Network
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Session 2 - FlowCAP-II Challenges & Results
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Challenge 1: HIV-Exposed-Uninfected (HEU) versus Un-exposed (UE)
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Ryan Brinkman on behalf of Tobias Kollman, University of British Columbia
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Challenge 2: Acute Myeloid Leukaemia
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Wade Rogers, University of Pennsylvania
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Challenge 3: Intracellular Cytokine Staining of Post-HIV Vaccine Antigen Stimulated T-cells
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Raphael Gottardo, Fred Hutchinson Cancer Research Center
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Additional Challenges: Multiple Sclerosis Treatment, Omalizumab and
Rush Immunotherapy, Stimulation of Influenza-specific cytokine-expressing
T cells, Dilution of activated cells in control populations
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Richard Scheuermann, University of Texas Southwestern Medical Center and,
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Tim Mosmann, University of Rochester
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Challenges 1 to 3: Results [Slides]
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Nima Aghaeepour, University of British Columbia
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Session 3 - New Algorithms for FCM Analysis and their application to FlowCAP-II
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Phenotyping (flowType) and Robust Feature Selection (FeaLect) for Flow Cytometry Data [Slides]
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Nima Aghaeepour, University of British Columbia
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FIND: A new software tool and development platform for enhanced multicolor flow analysis [Slides]
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Shareef M. Dabdoub, Ohio State University
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Analysing Flow Cytometry ICS Data Using a BioConductor Pipeline [Slides]
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Mike Jiang, Fred Hutchinson Cancer Research Center
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flowBin: A Complete Pipeline for Feature Extraction and Classification of Multi-tube Flow Cytometry Data [Slides]
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Kieran O'Neill, British Columbia Cancer Agency
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Automated identification of cell population changes using cross-sample comparison with FLOCK [Slides]
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Yu Qian, University of Texas Southwestern Medical Center
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Extracting a cellular hierarchy from high-dimensional single-cell data [Slides]
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Peng Qiu, University of Texas M.D. Anderson Cancer Center
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Automated Identification of Differential Signatures in Cellular Populations [Slides]
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Robert Bruggner, Stanford University
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Applying K-means (or flowPeaks) and Support vector machines to the sample classification problem using the flow cytometry data [Slides]
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Yongchao Ge, Mount Sinai School of Medicine
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flowMatch:A tool to create feature-preserving templates by population matching [Slides]
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Ariful Azad, Purdue University
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Session 4 - Future of FlowCAP
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FlowCAP-1 Results & Discussion
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Richard Scheuermann, University of Texas Southwestern Medical Center and,
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An open session dedicated to the review of the state-of-the-art, planning of FlowCAP-III, etc.
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Ryan Brinkman, British Columbia Cancer Agency
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Sponsers
This meeting was generously supported by the U.S. National Institute of Health (NIH)
