This repository provides a reference implementation of dgSeq as described in the manuscript:
Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data
Ping Luo, Li-Ping Tian, Jishou Ruan, and Fang-Xiang Wu
IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume: 16, Issue: 1, 01 Jan.-Feb. 2019
DOI: 10.1109/TCBB.2017.2770120
dgSeq predicts disease genes from a PPI network and a differential network constructed by RNA-Seq data.
Input
The input files include the PPI network, the differential network (or the matrix P) and the benchmark disease genes and non-disease genes
Output Algorithms in the directory "dgSeq/Algorithms/" can compute the AUC values of the prediction as well as the top 100 unknown genes.
Please send any questions to ping.luo@uhn.ca or faw341@mail.usask.ca