xzenglab / deepdcr

Deepforest for Prediction of Disease-associated Circular RNAs

DeepDCR

Deepforest for Prediction of Disease-associated Circular RNAs

Here are the data and code we used for the project of predicting disease-associated circRNAs.

(1) The python files(.py) are source code for each method, while the bash shell files(.sh) are scripts we used to run for the results;

(2) The 'input-15' directory contains the topological features we extracted for the 15 diseases we analyzed: the first 24 columns are features, while the last column is label(positive: 1 or unlabeled: 0).

(3) The other 7 directories contains output result for each method respectively.

We appreciate your interest in our paper, and would like to help if you have any questions. Thanks~ :)