Learning from Gene Names, Expression Values and Images: Contrastive Masked Text-Image Pretraining for Spatial Transcriptomics Representation Learning

Documenti analoghi

• Central-to-Local Adaptive Generative Diffusion Framework for Improving Gene Expression Prediction in Data-Limited Spatial Transcriptomics
  di: Fang, Yaoyu, et al.
  Pubblicazione: (2026)
• Sparser2Sparse: Single-shot Sparser-to-Sparse Learning for Spatial Transcriptomics Imputation with Natural Image Co-learning
  di: Fang, Yaoyu, et al.
  Pubblicazione: (2025)
• HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology
  di: Weng, Ziqiao, et al.
  Pubblicazione: (2025)
• ST-DAI: Single-shot 2.5D Spatial Transcriptomics with Intra-Sample Domain Adaptive Imputation for Cost-efficient 3D Reconstruction
  di: Qian, Jiahe, et al.
  Pubblicazione: (2025)
• DELST: Dual Entailment Learning for Hyperbolic Image-Gene Pretraining in Spatial Transcriptomics
  di: Chen, Xulin, et al.
  Pubblicazione: (2025)