Metadata-Version: 2.4
Name: spatial-artifacts
Version: 0.1.0
Summary: Identification and Classification of Spatial Artifacts in Visium and VisiumHD Data
Home-page: https://github.com/CambridgeCat13/SpatialArtifacts-py
Author: Harriet Jiali He, Jacqueline R. Thompson, Michael Totty, Stephanie C. Hicks
Author-email: jhe46@jh.edu, jthom338@jh.edu, mtotty2@jh.edu, shicks19@jhu.edu
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.9
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: anndata
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
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SpatialArtifacts provides a data-driven two-step workflow to identify, classify, and handle spatial artifacts in spatial transcriptomics data. The package combines median absolute deviation (MAD)-based outlier detection with morphological image processing (fill, outline, and star patterns) to detect edge and interior artifacts. It supports multiple platforms including 10x Genomics Visium (standard and HD), allowing for consistent quality control across different spatial resolutions.
