CmmD

Continual Multiplex network Module Detector

Institution:

Institution

Research Group:

Machine Learning for Biomedical Research

Researcher/s:

Iker Núñez, Davide Cirillo

Description:

CmmD clusters genes (or patients) across multi-layer biological networks by identifying their community memberships across varying scales. That is exactly the kind of HPC-grade analytics required to process multilayer networks with millions of nodes and edges to reveal disease sub-types or drug-response modules from omics profiles of both common and rare diseases.

CmmD offers a network-centric analytics engine that aligns best with the exascale-genomics trend; GPU/MPI optimisation, containerised workflows and large-cohort validation will unlock industrial adoption for biomarker discovery and patient-stratification services.

Value Proposition:

Find hidden disease sub-types from patient data

Aplication areas:

Drug discovery, drug development, clinical trials, diagnostics, personalized medicine

Target market:

Pharmaceutical; IVD Diagnostics; Research

Technology Readiness Level (1-9): 4

Protection:

GPL License (Version 3.0)

More information

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