Software:

1. Readme.txt
2. Executable Code for DiGId

The source code of the DiGId algorithm is written in C language and compiled in Ubuntu 22.04 LTS 64-bit OS. Download the compressed executable code (e.g. digid.tar.gz) from the corresponding link and then follow the instructions given in Readme.txt.

In order to avail the source code of DiGId, drop a mail to bibl@isical.ac.in, pmaji@isical.ac.in and eshah491@gmail.com


3. Example Individual Affinity Networks
4. Disease Gene Lists(Used for Validation)

Supplementary Results:

1. More Results of DiGId on Several Cancer Related Data Sets

Publication:

1. E. Shah and P. Maji, Multi-View Kernel Learning Using Genomic Data for Identification of Disease Genes, Submitted to: IEEE/ACM Transactions on Computational Biology and Bioinformatics (Manuscript Id: TCBB-2022-04-0417.R1).