Single Cell Iterative Point set Registration (SCIPR)
Project description
scipr
Single Cell Iterative Point set Registration (SCIPR)
Free software: BSD license
Homepage & Documentation: https://scipr.readthedocs.io.
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2020-05-13)
First release on PyPI.
0.2.0 (2020-05-22)
- New logging capabilities
scipr API calls will no longer result in any output to stdout under normal conditions
Instead, now using Python’s built-in logging module to emit logging information
Can also track SCIPR model fitting metrics per iteration in TensorBoard (optional)
Now compatible with AnnData objects for fitting and transforming
0.2.1 (2020-05-26)
Fix for bug that would cause MNN to break if k=1
Fix for mistake in SCIPR.transform_adata documentation about Returns
More tests for matching algorithms added
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 Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file scipr-0.2.1.tar.gz.
File metadata
- Download URL: scipr-0.2.1.tar.gz
- Upload date:
- Size: 412.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3259b28bf02d89e81ed3ec4eda2a0222d584fcf0f868cafa0adbdae30cc705b1
|
|
| MD5 |
5279405c10ff5084a36264eb1cdac61a
|
|
| BLAKE2b-256 |
18913296080a6d659ce41d7a3e760c64d046a8d5294d52d477717bad02dcaff8
|
File details
Details for the file scipr-0.2.1-py2.py3-none-any.whl.
File metadata
- Download URL: scipr-0.2.1-py2.py3-none-any.whl
- Upload date:
- Size: 15.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5096fca44f2c0ef5817ea96a515139fca49ff9d808b8898dbdb0167db06383d6
|
|
| MD5 |
90fa69da1140aaa0db3b77d975c9b550
|
|
| BLAKE2b-256 |
ed6a93f3d84648d71436bb497e57c0a416db9468741683cfcb5d57f66f37a44d
|
