Skip to main content

A Python package for extracting protein sequence features
Documentation · Request a feature · Report a bug

Travis CI Codecov Docs PyPI Python versions License



protlearn is a Python package for the feature extraction of amino acid sequences. It is comprised of three stages - preprocessing, feature computation, and subsequent dimensionality reduction. Currently, the package is being maintained for Python versions 3.6, 3.7, and 3.8.

For more information on how to use it, please refer to the documentation.

Installation

Dependencies

  • NumPy
  • Pandas
  • scikit-learn
  • xgboost
  • mlxtend
  • biopython

User Installation

PyPI

You can install protlearn with pip:

$ pip install protlearn

Conda

You can install protlearn with conda:

$ conda install protlearn

Authors

This package is maintained by Thomas Dorfer.

License

This package is licensed under the MIT License.

Download files

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

Source Distribution

protlearn-0.0.1.tar.gz (68.3 kB view details)

Uploaded Source

File details

Details for the file protlearn-0.0.1.tar.gz.

File metadata

  • Download URL: protlearn-0.0.1.tar.gz
  • Upload date:
  • Size: 68.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3

File hashes

Hashes for protlearn-0.0.1.tar.gz
Algorithm Hash digest
SHA256 a9d7e6b1d0936614301e7a5e80ce6a3c2f71c5fff663c58838d051cc2fb250c7
MD5 16996f66792fa6f5e35e47079b767afe
BLAKE2b-256 a653888d794b46a72a278338fa02e5fe6a31e1ede1ff376138719f4dca7710f7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page