Simply git clone git@github.com:dreadlesss/Panax_age_predictor.git the repository to your home computer.
For detailed information, please refer to the article: Identification of intrinsic hepatotoxic compounds in Polygonum multiflorum Thunb. using machine-learning methods. Chin Med. 2021, 16:100.
The code is written in [Python 3.8.10] and mainly uses the following packages:
- [Sklearn] for model building
- [matplotlib] for plotting figures
Install Anaconda on your computer and create a Conda environment:
conda env create -n age_predict -f environment.yml
Activate the new Conda environment:
conda activate age_predict
Launch Jupyter Notebook:
jupyter notebook
train data set: train_data.xlsx
test data set: test_data(merged).xlsx
test set 1:test set 1.xlsx
test set 2:test set 2.xlsx