SpatialCorr
Project description
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file spatialcorr-1.1.0-py3-none-any.whl.
File metadata
- Download URL: spatialcorr-1.1.0-py3-none-any.whl
- Upload date:
- Size: 12.9 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4242783f81ce2db322f3b23f18603dac6785e2b2376162f14240328ce68290bc |
|
| MD5 | 71be9ef2bcd054f22950278362325420 |
|
| BLAKE2b-256 | 5b5f60cb124687e7736e9435abf38d7a316120de07d9e518aa9b931ec9947a92 |
