All Competitors

Billion-parameter single-cell foundation model performing full self-attention across all 28,000 human genes, integrating Gene Ontology priors via GCN for long-range gene context capture in transcriptomics.

Deep learning method for protein function prediction using Gene Ontology annotations, combining protein language models with neuro-symbolic reasoning over GO axioms.

Protein language model that integrates Gene Ontology knowledge graphs via contrastive learning, improving function prediction, protein-protein interaction, and TAPE benchmark tasks.

Universal protein language model pretrained on 106M UniRef90 sequences with dual objectives: masked language modeling and Gene Ontology annotation prediction.