FlowCAP Summit 2010, U.S. NIH Campus
Documents
Introduction
| Importance of FlowCAP from the DAIT/NIH Perspective |
| Charles Hackett, Division of Allergy, Immunology, and Transplantation, NIAID, NIH |
| FlowCAP: history, goals, and design of FlowCAP-I |
| Richard H. Scheuermann, U.T. Southwestern Medical Center [Slides] |
Participants
| Rapid Cell Population Identification in Flow Cytometry Data |
| Ryan Brinkman on behalf of Nima Aghaeepour, University of British Columbia [Abstract] [Slides] |
| Automatic determination of the number of mixture components in Flow Cytometry with Variational Bayes |
| Hannes Bretschneider, Humboldt-Universitat zu Berlin [Abstract] [Slides] |
| GPU accelerated Bayesian mixture models for FCM analysis |
| Cliburn Chan, Duke University [Abstract] [Slides] |
| flowMerge: Merging mixture components for automated gating of flow cytometry data |
| Greg Finak, Fred Hutchinson Cancer Research Center [Abstract] [Slides] |
| Flow Cytometry Data Assessment with L2 Discrepancy Learning Process: Analysis and Visualization |
| Faysal Khettabi, British Columbia Cancer Agency [Abstract] [Slides] |
| On the use of NMF and curvHDR to cluster flow cytometry data |
| Joe Maisog, Medical Numerics, Inc. / Georgetown University MedicalCenter [Abstract] [Slides] |
| Automated High-dimensional Cytometric Data Analysis |
| Philip L. De Jager, Harvard Medical School [Abstract] [Slides] |
| SWIFT: Scalable Weighted Iterative Flow-clustering Technique |
| Iftekhar Naim, University of Rochester [Abstract] [Slides] |
| Self-organizing Maps for Flow Cytometry Data Analysis |
| Radina Nikolic, University of Oxford and British Columbia Institute of Technology (BCIT) [Abstract] [Slides] |
| FLOCK: a density-based clustering method for automated identification and comparison of cell populations in high-dimensional flow cytometry data |
| Yu Qian, Southwestern Medical Center [Abstract] [Slides] |
| Support Vector Machines for classification of flow data |
| John Quinn, TreeStar, Inc [Abstract] [Slides] |
| Misty Mountain - A Parallel Clustering Method. Application to Fast Unsupervised Flow Cytometry Gating |
| Istvan Sugar, Mt. Sinai School of Medicine [Abstract] [Slides] |
| SamSPECTRAL: Efficient spectral clustering on flow cytometry data |
| Habil Zare, British Columbia Cancer Agency [Abstract] [Slides] |
Keynote address
| Coherent Single Cell Analysis in the 21st Century: ROFLMAO |
| Mario Roederer, National Institutes of Health |
Results
| FlowCAP-I: Results |
| Ryan Brinkman, British Columbia Cancer Agency [Slides] |
| FlowCAP-I Debrief: What worked and what didn't work |
| Richard H. Scheuermann, U.T. Southwestern Medical Center [Slides] |
| Comparative Metrics: Measuring the quality of a classification method without a known ground truth |
| Adam Triestar, TreeStar, Inc |
FlowCAP-II
| FlowCAP-II: comparative metrics |
| Jill Schoenfeld, TreeStar, Inc |
| FlowCAP-II: Dataset classification and identification of important gaps in datasets used for FlowCAP-I |
| Richard H. Scheuermann, U.T. Southwestern Medical Center |
| FlowCAP-II: Design and Funding |
| Ryan Brinkman, British Columbia Cancer Agency |
Sponsers
This meeting was generously supported by the U.S. National Institute of Health (NIH)