SC2Spa: a deep learning based approach to map transcriptome to spatial origins at cellular resolution
Install
Install SC2Spa:
conda create -n SC2Spa python=3.9
conda activate SC2Spa
pip install SC2Spa
Analysis for the SC2Spa manuscript
The analysis for the SC2Spa manuscript can be found in this repository. The analysis and related data were also uploaded to Figshare and Zenodo.
Benchmarking and validation code
The benchmarking code, including scripts for cross-validation and cross-dataset validation, is available for download as CV_code.zip from:
https://figshare.com/ndownloader/files/53089715
Many more to come!
We will update more on our Read the Docs page
News
2023/08/22
SC2Spa is now on BioRXiv! https://www.biorxiv.org/content/10.1101/2023.08.22.554277v1
1 maintainer
Metadata
1 maintainer
Release files for SC2Spa 1.3.1
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 | |
|---|---|---|---|---|
| sc2spa-1.3.1.tar.gz | 27.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sc2spa-1.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 56.0 kB
Release files / sc2spa-1.3.1.tar.gz
| Download URL | sc2spa-1.3.1.tar.gz |
|---|---|
| Size | 27.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.12.7
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Release files / sc2spa-1.3.1-py3-none-any.whl
| Download URL | sc2spa-1.3.1-py3-none-any.whl |
|---|---|
| Size | 28.2 kB |
| Tags | Python 3 |
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No |
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twine/6.1.0 CPython/3.12.7
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Security for SC2Spa 1.3.1
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