Metadata-Version: 2.1
Name: spatialcorr-sim
Version: 0.0.1
Summary: SpatialCorr
Home-page: https://github.com/mbernste/spatialcorr-sim
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

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SpatialCorr-Sim: Simulate spatial transcriptomics data
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SpatialCorr-sim is a set a Python framework for simulating spatial transcriptomics data with spatially varying correlation across the slide. Specifically, this framework takes as input a spatial transcriptomics dataset and uses this dataset to "seed" simulated datasets. That is, simulated datasets are generated such that the marginal distribution of UMI counts match those in the input dataset, but the correlation between genes can be specified by the user.Moreover, this package contains a framework for generating random patterns of spatially varying correlation among a set of genes.  Altogether, SpatialCorr-sim can be used for the evaluation of computational methods that analyze the correlation among genes in spatial transcriptomics data. 

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



