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flowCut: An R package for automated removal of outlier events and flagging of files based on time versus fluorescence analysis.
Meskas, Justin; Yokosawa, Daniel; Wang, Sherrie; Segat, Gabriela C; Brinkman, Ryan Remy.
Affiliation
  • Meskas J; Terry Fox Laboratory, BC Cancer, Vancouver, British Columbia, Canada.
  • Yokosawa D; Terry Fox Laboratory, BC Cancer, Vancouver, British Columbia, Canada.
  • Wang S; Terry Fox Laboratory, BC Cancer, Vancouver, British Columbia, Canada.
  • Segat GC; Cytapex Bioinformatics Inc, Vancouver, British Columbia, Canada.
  • Brinkman RR; Terry Fox Laboratory, BC Cancer, Vancouver, British Columbia, Canada.
Cytometry A ; 103(1): 71-81, 2023 01.
Article in En | MEDLINE | ID: mdl-35796000
ABSTRACT
Technical artifacts such as clogging that occur during the data acquisition process of flow cytometry data can cause spurious events and fluorescence intensity shifting that impact the quality of the data and its analysis results. These events should be identified and potentially removed before being passed to the next stage of analysis. flowCut, an R package, automatically detects anomaly events in flow cytometry experiments and flags files for potential review. Its results are on par with manual analysis and it outperforms existing automated approaches.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Flow Cytometry Language: En Journal: Cytometry A Year: 2023 Document type: Article Affiliation country: Canada

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Flow Cytometry Language: En Journal: Cytometry A Year: 2023 Document type: Article Affiliation country: Canada