Apr 25, 2020

flowCut --- An R package for precise and accurate automated removal of outlier events and flagging of files based on time versus fluorescence analysis

BioRxiv : the Preprint Server for Biology
J. MeskasR. R. Brinkman

Abstract

Technical artifacts that occur during the data acquisition process of cytometry data can impact the quality of the data and its analysis results. Common technical issues, such as clogging, can cause spurious events and fluorescence intensity shifting. These events should be identified and potentially removed before being passed to the next stage of the gating analysis. flowCut, an R package, automatically detects anomaly events and flags files for flow cytometry experiments. Results are on par with manual analysis and it outperforms existing automated approaches. Availability: R package: https://github.com/jmeskas/flowCut. Test data uploaded to FlowRepository (Repository ID: FR-FCM-ZYPD) along with the manual results.

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Mentioned in this Paper

Brain
Neural Network Simulation
Organism
Location
Learning
Attention
Memory
Computed (Procedure)

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