Name | SpaGRA JSON |
Version |
1.0.0
JSON |
| download |
home_page | None |
Summary | Relation-aware graph augmentation with geometric contrastive learning improves the domains identification from spatially resolved transcriptomics data |
upload_time | 2024-08-12 12:57:12 |
maintainer | None |
docs_url | None |
author | Sun Xue |
requires_python | None |
license | MIT |
keywords |
spatial transcriptomics
deep learning
domains identification
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
Raw data
{
"_id": null,
"home_page": null,
"name": "SpaGRA",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "Spatial transcriptomics, Deep learning, Domains identification",
"author": "Sun Xue",
"author_email": "sunxue_yy@mail.edu.sdu.cn",
"download_url": "https://files.pythonhosted.org/packages/5f/0d/86d70842adaee3d565cd3866486762fec5a4d4982db464d1990cb341361d/SpaGRA-1.0.0.tar.gz",
"platform": null,
"description": "",
"bugtrack_url": null,
"license": "MIT",
"summary": "Relation-aware graph augmentation with geometric contrastive learning improves the domains identification from spatially resolved transcriptomics data",
"version": "1.0.0",
"project_urls": null,
"split_keywords": [
"spatial transcriptomics",
" deep learning",
" domains identification"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b1b482be8d26ed1bc85326598c24ae152eb2133833cf126555ad1ffbb7f2872f",
"md5": "78c43be0a60921d062748d9e42cd39cd",
"sha256": "8d9cedb32e9bd4bbd0815ee40bd318d98663db31085e3cc47fdcacd4123a725b"
},
"downloads": -1,
"filename": "SpaGRA-1.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "78c43be0a60921d062748d9e42cd39cd",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 11697,
"upload_time": "2024-08-12T12:57:08",
"upload_time_iso_8601": "2024-08-12T12:57:08.476611Z",
"url": "https://files.pythonhosted.org/packages/b1/b4/82be8d26ed1bc85326598c24ae152eb2133833cf126555ad1ffbb7f2872f/SpaGRA-1.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5f0d86d70842adaee3d565cd3866486762fec5a4d4982db464d1990cb341361d",
"md5": "b4a2f4571324fe400e92eff142f8191e",
"sha256": "bc6a9edc82bbb6980bff7b9b2a253b0602157680ae2abfae5b128fecc84282aa"
},
"downloads": -1,
"filename": "SpaGRA-1.0.0.tar.gz",
"has_sig": false,
"md5_digest": "b4a2f4571324fe400e92eff142f8191e",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 12234,
"upload_time": "2024-08-12T12:57:12",
"upload_time_iso_8601": "2024-08-12T12:57:12.396339Z",
"url": "https://files.pythonhosted.org/packages/5f/0d/86d70842adaee3d565cd3866486762fec5a4d4982db464d1990cb341361d/SpaGRA-1.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-08-12 12:57:12",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "spagra"
}