A Python package for extracting protein sequence features
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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.
Overview
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 -c conda-forge protlearn
Authors
This package is maintained by Thomas Dorfer.
License
This package is licensed under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for protlearn 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| protlearn-0.0.3.tar.gz | 67.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| protlearn-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 173.8 kB
Release files / protlearn-0.0.3.tar.gz
| Download URL | protlearn-0.0.3.tar.gz |
|---|---|
| Size | 67.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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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
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Release files / protlearn-0.0.3-py3-none-any.whl
| Download URL | protlearn-0.0.3-py3-none-any.whl |
|---|---|
| Size | 106.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is 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
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