Commit 6f888834 authored by Ngan Thi Dong's avatar Ngan Thi Dong
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Update README.md

parent fa22e46f
......@@ -38,11 +38,11 @@ other configurable parameters include:
- _randseed_: the random seed used to generate train/test split
3. For **EPMDA** since the features took a lot of time to run, we provide all calculated features in epmda/data folder
Please run `eval_epmda.py` with the corresponding arguments for evaluating EPMDA with the balance/imblance set up
Please run `eval_epmda.py` with the corresponding arguments for evaluating EPMDA with the balance/imblance set up.
For feature calculation, please refer to the *.py files in epmda folder.
4. To get the topK scores for selected diseases, run `getTopRes.py`. The disease indexes given in the scripts are those used by our evaluation.
4. To get the topK scores for selected diseases, run `getTopRes.py`. The disease indexes given in the scripts are those used in our paper.
For feature calculation, please refer to the *.py files in epmda folder.
4. To run all the model with the **NEW** dataset, the following files are needed:
- m-d.csv: store the association matrix where rows are miRNAs and columns are diseases
......@@ -57,4 +57,4 @@ To calculate disease semantic similarity from MESH ontology, disease GIP or miRN
If you use the code in your work, please cite the following paper:
Dong, Thi Ngan, and Megha Khosla. "A consistent evaluation of miRNA-disease association prediction models." bioRxiv (2020).
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Dong, Thi Ngan, and Megha Khosla. "A consistent evaluation of miRNA-disease association prediction models." bioRxiv (2020).
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