UniTCR is a novel low-resource-aware multi-modal representation learning framework for unifiably integration and joint analysis of T cell receptor (TCR) and its corresponding transcriptome, which is composed of a dual-modality contrastive learning module and a modality preservation module. This model can be easily adapted to four applications in the computational immunology, including:
Single modality analysis
Modality gap analysis
Epitope-TCR binding prediction
Cross-modality generation