An explainable bioinformatics framework that predicts disease-gene associations from biological networks.
Multi-view hypergraphs are constructed from protein-protein interaction and pathway data, and hypergraph neural encoders learn gene embeddings through structured message propagation. Contrastive alignment improves consistency between the two biological views, and predictions are backed by evidence from gene ontology, pathway co-membership and PPI connectivity — reaching 0.9434 validation AUC.
Ordinary graphs model only pairwise gene relationships, but biological interactions are frequently many-to-many. Predictions that cannot cite biological evidence are not actionable for a researcher.
Represent the biology as hypergraphs so group-level interactions survive the encoding, align multiple biological views contrastively, and attach explicit ontology and pathway evidence to each predicted association.
Multi-View Hypergraph Construction
Builds views from protein-protein interaction and pathway data.
Hypergraph Neural Encoders
Learns gene embeddings via structured message propagation.
Contrastive Alignment
Improves consistency between the two biological views.
Explainable Predictions
Evidence from gene ontology, pathway co-membership, and PPI connectivity; 0.9434 validation AUC.
Deep Learning
Bioinformatics
Evaluation
Network construction
Hypergraph views are built from PPI and pathway data.
Embedding
Hypergraph encoders learn gene representations.
View alignment
Contrastive loss aligns the two biological views.
Prediction
Disease-gene associations are scored.
Evidence
Ontology and pathway evidence is attached to each call.
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Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.
That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.
We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.
Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.
Get complete source code, documentation, PPT, explanation, and support.
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