FEATS
Description
FEATS is a new Python tool for performing the following downstream analysis on single-cell RNA-seq datasets:
- Clustering
- Estimating the number of clusters
- Outlier detection
- Batch correction and integration of data from multiple experiments
Prerequisites
FEATS depends on the following packages
- numpy
- pandas
- scikit-learn
- scipy
- singlecelldata
Installation
To install FEATS run the following command:
pip install feats
Documentation
The functional reference manual for FEATS is available here.
Examples
To use FEATS, please refer to the following example code presented in notebook sytle environment.
Data
The data for the examples in this section is available here. The data is contained in subfolders in the datasets folder. The subfolders are named according to the dataset name. To load the data for the examples above, provide the path to the datasets folder.
Paper
Coming soon!
Contact
Contact the author on vans.edw@gmail.com to give feedback/suggestions for further improvements and to report issues.
1 maintainer
Metadata
1 maintainer
Release files for feats 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| feats-1.0.1.tar.gz | 14.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| feats-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.6 kB
Release files / feats-1.0.1.tar.gz
| Download URL | feats-1.0.1.tar.gz |
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| Size | 14.5 kB |
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