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Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.

MEF 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Multiple Evidence Fusion <img src="logo.png" align="right" alt="logo" height="180" width="180" />

This repository archives the datasets, R code, and Python code for the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model' <[DOI:10.1002/psp4.12002](http://doi.org/10.1002/psp4.12002)> ([PDF](https://nanx.me/papers/MEF.pdf)).

## Paper Citation

If you find this code useful in your research, please cite our paper:

Formatted citation:

Cao, D‐S., N. Xiao, Y‐J. Li, W‐B. Zeng, Y‐Z. Liang, A‐P. Lu, Q‐S. Xu, and A. F. Chen. (2015). Integrating multiple evidence sources to predict adverse drug reactions based on a systems pharmacology model. _CPT: Pharmacometrics & Systems Pharmacology_, 4(9), 498-506.

BibTeX entry:

```
@article{MEF2015,
  title={Integrating multiple evidence sources to predict adverse drug reactions based on a systems pharmacology model},
  author={Cao, D-S and Xiao, N and Li, Y-J and Zeng, W-B and Liang, Y-Z and Lu, A-P and Xu, Q-S and Chen, AF},
  journal={CPT: Pharmacometrics \& Systems Pharmacology},
  volume={4},
  number={9},
  pages={498--506},
  year={2015},
  publisher={Wiley Online Library}
}
```

MEF

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MEF 최신버젼 다운로드

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