Metadata-Version: 2.1
Name: spatialcorr
Version: 1.0.0
Summary: SpatialCorr
Home-page: https://github.com/mbernste/spatialcorr
Author: Matthew N. Bernstein
Author-email: mbernstein@morgridge.org
License: MIT License
Keywords: spatial-transcriptomics,gene-expression,computational-biology
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
License-File: LICENSE
Requires-Dist: numpy (>=1.19.5)
Requires-Dist: pandas (>=1.2.1)
Requires-Dist: scipy (>=1.4.1)
Requires-Dist: anndata (>=0.7.5scikit-learn>=0.24.2)
Requires-Dist: matplotlib
Requires-Dist: seaborn (>=0.11.1)

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SpatialCorr: Identifying gene sets with spatially varying correlation
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SpatialCorr is a set of statistical methods for identifying genes whose correlation structure changes across a spatial transcriptomics sample. Along with a set of statistical tests, SpatialCorr also offers a number of methods for visualizing spatially varying correlation.

For instructions on installing and running SpatialCorr, see the GitHub repository: https://github.com/mbernste/spatialcorr



