aef1004/mycyto: Analyze flow cytometry data with feature engineering
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. This works was supported by National Institute of Health grant 1R01 AI127475-01A1 and partially supported by a National Science Foundation grant (DGE-1450032).
Getting started
Browse package contents
Package details |
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| Author | person("Amy", "Fox", email = amyfox@colostate.edu, role = c("aut", "cre")) |
| Maintainer | The package maintainer <yourself@somewhere.net> |
| License | What license is it under? |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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