DIGEST is a systems medicine tool for the in silico validation of gene and disease sets, clusterings, and subnetworks w.r.t. genetic and functional coherence. It is available as a web service, as a Python package, and via a REST API.
We are happy to announce that our paper on how to use enumeration of diverse minimum-cost perfect and error-correcting bipartite matchings for robust data matching has been published in Information Sciences.
We are happy to announce that our new method for robust disease module mining based on enumeration of diverse prize-collecting Steiner trees has been published in Bioinformatics.