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)
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.

Experiment variables

Download FCS Files or login and see the dataset in your inbox for further annotation details.