anticor-features 0.0.99

Anti-correlation based feature selection for single cell datasets

README

Tutorials

Anti-correlated genes as a method of feature selection

What is this repository for?

• Unsupervised feature selection for single cell omics (or anything else!) that passes the null dataset test

How do I get set up?

python3 -m pip install anticor_features

You can also install using the setup.py script in the distribution like so: python3 setup.py install

How do I run use this package?

Using Scanpy or AnnData as an interface?

from XXX import XXX

This yields a pandas data frame that will give you the collected summary statistics, and let you filter based on the features annotated as "selected" in that column

>>> print(anti_cor_res.head())

A list of the gProfiler accepted species codes is listed here: https://biit.cs.ut.ee/gprofiler/page/organism-list

License

This package is available via the AGPLv3 license.

Who do I talk to?

• Repo owner/admin: [e-mail]