Metadata-Version: 2.0
Name: scedar
Version: 0.1.5
Summary: Single-cell exploratory data analysis for RNA-Seq
Home-page: http://github.com/logstar/scedar
Author: Yuanchao Zhang
Author-email: logstarx@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.5, <3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: seaborn
Requires-Dist: sklearn
Requires-Dist: xgboost
Requires-Dist: networkx
Requires-Dist: fa2
Requires-Dist: umap-learn

# Scedar

`Scedar` (Single-cell exploratory data analysis for RNA-Seq) is a reliable and easy-to-use Python package for efficient *visualization*, *imputation of gene dropouts*, *detection of rare transcriptomic profiles*, and *clustering* of large-scale single cell RNA-seq (scRNA-seq) datasets.

For more information, check the [GitHub repository](http://github.com/logstar/scedar) of `scedar`.


