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pimkl 0.1.1
pimkl
pathway induced multiple kernel learning for computational biology
Free software: MIT license
Documentation: https://pimkl.readthedocs.io.
Features
The pimkl command:
Usage: pimkl [OPTIONS] NETWORK_CSV_FILE NETWORK_NAME GENE_SETS_GMT_FILE
GENE_SETS_NAME PREPROCESS_DIR OUTPUT_DIR CLASS_LABEL_FILE [LAM]
[K] [NUMBER_OF_FOLDS] [MAX_PER_CLASS] [SEED] [MAX_PROCESSES]
[FOLD]
Console script for a complete pimkl pipeline, including preprocessing and
analysis. For more details consult the following console scripts, which
are here executed in this order. `pimkl-preprocess --help` `pimkl-analyse
run-performance-analysis --help`
Options:
-fd, --data_csv_file PATH [required]
-nd, --data_name TEXT [required]
--model_name [EasyMKL|UMKLKNN|AverageMKL]
--help Show this message and exit.
Requirements
C++14 capable C++ compiler
cmake (>3.0.2)
Python
Installation
Install the dependencies
pip install -r requirements.txt
Install the package
pip install .
Tutorial
You can find a brief tutorial in the dedicated folder.
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2020-11-05)
First release on PyPI.
0.1.0 (2019-10-01)
First release.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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