This release is a pre-release and may not be stable for production use.
spatialrna
A package that provides an easier interface for building graph data from spatial transcriptomics data.
Prerequisites
Create a conda environment with Python >= 3.10:
conda create -n spatialrna python=3.10
conda activate spatialrna
To use the graphs with GNN models, also install PyTorch and PyTorch Geometric matching your CUDA version (see the PyTorch and PyG installation guides).
Installation
pip install spatialrna
Development pre-release (0.3.x):
pip install --pre spatialrna
Documentation
Documentation is available at https://ruqianl.github.io/spatialrna_docs/
Release files for spatialrna 0.3.0.dev2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| spatialrna-0.3.0.dev2.tar.gz | 44.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spatialrna-0.3.0.dev2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 87.3 kB
Release files / spatialrna-0.3.0.dev2.tar.gz
| Download URL | spatialrna-0.3.0.dev2.tar.gz |
|---|---|
| Size | 44.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
05efe7079ce0359f4f4a7cf486fc32f821f5b06e052fe7140fafff70b75da04a
|
|
BLAKE2b-256 checksum How to use checksums |
1a9388caa13efc5e92490148aae219befd92c39ec0e3d7705c79614abb20a53a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.15
|
Release files / spatialrna-0.3.0.dev2-py3-none-any.whl
| Download URL | spatialrna-0.3.0.dev2-py3-none-any.whl |
|---|---|
| Size | 42.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c416c23be2fb1ea551c42ed561befa85d4d4ef1a79f9396577d99b73de20ddb2
|
|
BLAKE2b-256 checksum How to use checksums |
c603875d430f4e558b9a156abef73fe345dce7c94260ae83246e70dd054770db
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.15
|
Security for spatialrna 0.3.0.dev2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
