Disease knowledge assembly models were generated in order to capture the vast knowledge around AD and PD. The language used to build the underlying models is the open source version of the Biological Expression Language (BEL). BEL encodes knowledge-based (mostly literature-derived) “cause and effect” relationships into network models, which can be subjected to causal analysis using quantitative data such as gene expression. The models developed here not only represent a comprehensive view on the core established pathways involved in amyloid processing, but also cover a broad spectrum of events that lead to clinical readouts often seen in AD and PD patients, such as neuro-inflammatory cascades. These models constitute the core of the candidate mechanism graphs that NeuroMMSig is based on.
- Webinar to review the pathophysiology graphs & potential hypotheses – graph-presented Hypotheses and Bayesian Networks (D3.5.5)
- In-depth validation of imaging-related candidate mechanisms using advanced strategies, like regression analysis on genetic and imaging biomarkers HASE, Voxel-Based Morphometry, and Event-Based Modeling (D184.108.40.206)