Top-100-nn

: The genes in this top-100 list are significantly more connected to known disease clusters than random genes, validating their importance.

: The system processes complex inputs like gene expressions and mutation lists using advanced structures like Graph Neural Networks (GNN) and Transformers. top-100-nn

By applying deep learning to genetic data, researchers can pinpoint which genes most strongly influence disease outcomes, moving toward more personalized or "stratified" medicine. 🧬 Scientific Significance : The genes in this top-100 list are

: The model uses a biologically informed structure where connections between neurons represent real biological interactions. 🧬 Scientific Significance : The model uses a

) in medical research. This specialized model is used to predict and understand inflammatory bowel diseases (IBD), such as Crohn’s disease (CD) and ulcerative colitis (UC).

: High-ranking genes like PDGFB are directly linked to complications like fibrosis, which affects over a third of Crohn's patients. 🧠 The Technology: Biosparsified Neural Networks