nf-core/diseasemodulediscovery is a project similar in spirit to SPRAS. See their publication for details and the linked repo for an overview of the disease module algorithms and datasets.
We discussed ways to coordinate at a high level. Lower level code sharing would be challenging due to the different architectures and workflow managers. We could share Docker images and datasets.
@JohannesKersting pointed us to some relevant resources
TOPAS: https://github.com/REPO4EU/modulediscovery_topas_dependencies
Hierarchical HotNet: https://github.com/REPO4EU/modulediscovery_hierarchical_hotnet_dependencies
ROBUST (bias-aware; also available as a BioContainer): https://quay.io/repository/biocontainers/robust-bias-aware
Regarding resources, we also maintain a repository for processing different PPI networks (e.g., removing duplicate edges and self-loops, and mapping between identifier spaces). Both the processing code (https://github.com/REPO4EU/network_preparation) and the prepared network resources (https://doi.org/10.5281/zenodo.17258761) might be useful for your project.
nf-core/diseasemodulediscovery is a project similar in spirit to SPRAS. See their publication for details and the linked repo for an overview of the disease module algorithms and datasets.
We discussed ways to coordinate at a high level. Lower level code sharing would be challenging due to the different architectures and workflow managers. We could share Docker images and datasets.
@JohannesKersting pointed us to some relevant resources