Skip to main content

Single Cell Iterative Point set Registration (SCIPR)

Project description

scipr Documentation Status

Single Cell Iterative Point set Registration (SCIPR)


This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.


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

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scipr-0.2.1.tar.gz (412.0 kB view hashes)

Uploaded Source

Built Distribution

scipr-0.2.1-py2.py3-none-any.whl (15.2 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page