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name: flowsom | ||
description: | | ||
The complete FlowSOM package known from R, now available in Python! | ||
Analyze high-dimensional cytometry data using FlowSOM, | ||
a clustering and visualization algorithm based on a self-organizing map (SOM). | ||
FlowSOM is used to distinguish cell populations from cytometry data in an unsupervised way and | ||
can help to gain deeper insights in fields such as immunology and oncology. | ||
project_home: https://github.com/saeyslab/FlowSOM_Python | ||
documentation_home: https://flowsom.readthedocs.io/en/latest/ | ||
tutorials_home: https://flowsom.readthedocs.io/en/latest/notebooks/example.html | ||
publications: | ||
- 10.1093/bioinformatics/btae179 | ||
- 10.1002/cyto.a.22625 | ||
- 10.1038/s41596-021-00550-0 | ||
install: | ||
conda: conda-forge::flowsom | ||
tags: | ||
- clustering | ||
- flowcytometry | ||
license: GPL-3.0-only | ||
version: v0.0.1 | ||
authors: | ||
- artuurC | ||
- berombau | ||
- ysaeys | ||
- SofieVG | ||
test_command: pip install "." && pytest |