TencentAILabHealthcare

Deep graph contrastive learning framework for single-cell proteomics embedding, handling peptide uncertainty, missingness, and batch effects.

A GPT-based foundation model pre-trained on 200B+ base pairs from mammalian genomes, supporting DNA sequence generation, classification, and regression.

Pre-trained large generative model that translates single-cell transcriptomes to proteomes, inferring missing single-cell protein abundance from RNA expression without alignment.

Pretrained 3D-ResNet backbones trained on aggregated multi-domain medical segmentation data, released as transfer-learning weights for volumetric medical image analysis.