Species-OT
Geometric inference of cross-species transcriptome correspondence using Gromov-Wasserstein optimal transport.
Installation
$ pip install speciesot
Requirements
-
Python 3.12.7
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NVIDIA GPUs or Apple Silicon
Click here to learn how to utilize Apple Silicon's GPUs (official documentation).
Documentation
The tutorial is available here.
Preprint
Please see the following preprint: Y. Tokuta et al. Geometric inference of cross-species transcriptome correspondence using Gromov-Wasserstein optimal transport. bioRxiv
Release files for speciesot 0.2.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| speciesot-0.2.7.tar.gz | 16.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| speciesot-0.2.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.1 kB
Release files / speciesot-0.2.7.tar.gz
| Download URL | speciesot-0.2.7.tar.gz |
|---|---|
| Size | 16.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.9.19 Darwin/24.6.0
|
Release files / speciesot-0.2.7-py3-none-any.whl
| Download URL | speciesot-0.2.7-py3-none-any.whl |
|---|---|
| Size | 16.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.9.19 Darwin/24.6.0
|
