README.md
In aef1004/mycyto: Analyze flow cytometry data with feature engineering
Package Overview
This package allows users to perform end-to-end analysis of flow cytometry data. It utilizes FMOs or clear separation between populations to transform the continuous data into binary data. From this point, easy-to-understand plots are created for the data. The modular nature of the pipeline further allows for customization of statistical testing, adoption of alternative initial gating steps, and incorporation of other datasets.
If you use this package for research, please cite the package.
Required set-up to use this package
aef1004/mycyto documentation built on Dec. 18, 2021, 10:30 p.m.
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Package Overview
This package allows users to perform end-to-end analysis of flow cytometry data. It utilizes FMOs or clear separation between populations to transform the continuous data into binary data. From this point, easy-to-understand plots are created for the data. The modular nature of the pipeline further allows for customization of statistical testing, adoption of alternative initial gating steps, and incorporation of other datasets.
If you use this package for research, please cite the package.
Required set-up to use this package
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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