Experiment Overview
| Repository ID: | FR-FCM-ZYPD | Experiment name: | flowCut - Cleaning Comparison Data | MIFlowCyt score: | 32.26% |
| Primary researcher: | Daniel Yokosawa | PI/manager: | Daniel Yokosawa | Uploaded by: | Daniel Yokosawa |
| Experiment dates: | 2018-08-28 - 2021-07-30 | Dataset uploaded: | Aug 2018 | Last updated: | May 2022 |
| Keywords: | [Bioinformatics] [flow cytometry] [quality checking] [outlier detection] [anomaly detection] [data cleaning] [data acquisition] | Manuscripts: | |||
| Organizations: |
BC Cancer Agency, Terry Fox Lab, Vancouver, BC (Canada)
University of British Columbia, Vancouver (UBC), British Columbia (Canada) |
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| Purpose: | Data set to compare the automated algorithms that remove outlier events based on time versus fluorescence analysis. | ||||
| Conclusion: | Results show that flowCut outputs are significantly more similar to the manual analysis compared to other relevant algorithms available. | ||||
| Comments: | This dataset was obtained by pseudo-randomly selecting files from available studies in flowRepository | ||||
| Funding: | Research reported in this publication was supported in part by NSERC, NIGMS [R01 GM118417-01A1], an NIH Infrastructure and Opportunity Fund Award linked to Human Immunology Project Consortium Award Number [U19AI118610] (IOF Pilot), and the Precision Vaccines Program. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. | ||||
| Quality control: | The files were manually cleaned by a specialist and validated by 2 other independent specialists. | ||||
