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fgh95 committed Aug 30, 2020
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8 changes: 8 additions & 0 deletions .idea/.gitignore

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22 changes: 22 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2020 Ferran Gonzalez Hernandez

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
17 changes: 17 additions & 0 deletions README.md
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# PKDocClassifier

This repository provides the code for developing a machine learning pipeline that classifies scientific publications from PubMed depending on whether they report new pharmacokinetic (PK) parameters from __in vivo__ studies.

In the analyses section the different pipelines..

The final pipeline retrieved more than 120K PK publications and runs weekly updates. All the retrieved data has been arranged at https://stage-app.pkpdai.com/.

# Reproducing our results

## 1. Installation


## 2. Data download


## 3. Run
13 changes: 13 additions & 0 deletions environment.yml
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# This file may be used to create an environment using:
# $ conda env create --name <env> --file <this file>
# platform: linux-64
name: fgh95

channels:
- conda-forge

dependencies:
- python=3.7

- pip:
- -r file:requirements.txt
Empty file added requirements.txt
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12 changes: 12 additions & 0 deletions setup.py
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from setuptools import setup, find_packages

with open('requirements.txt') as f:
requirements = f.read().splitlines()


setup(
name="pk_classifier",
version="0.1.0",
packages=find_packages(),
install_requires=requirements
)

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