Metadata-Version: 2.1
Name: SpatialHeterogeneityAnalysis
Version: 1.0.0
Summary: SHA: a Toolkit for Spatial Heterogeneity Analysis of Spatially Resolved Transcriptomes
Home-page: https://github.com/Devin-jun/SHA-SpatialHeterogeneityAnalysis
Author: Devin Jun
Author-email: 1402795334@qq.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE

# SHA-SpatialHeterogeneityAnalysis
SHA，A toolkit for genomics spatial heterogeneity analysis which is designed for a variety of spatial transcriptomics techniques such as **seqFISH+**, **MERFISH**, **osmFISH**,**10X Visium**.

SHA provides a series of spatial heterogeneity mining methods, including **spatial heterogeneity genes calculation**, **cell type and tissue area spatial entropy calculation**, **gene expression regulation network based on geographically weighted regression**, **spatial accessibility analysis**.

We analyzed different datasets from three domains: ***neurobiology, tumor biology, and developmental biology*** based on SHA computational frameworks.

