Papers

• Improving scDiffusion with Sparsity-Biased Classifier-Free Guidance (2026)
  Yu Song et al.
  3.45
• ELISA: An Interpretable Hybrid Generative AI Agent for Expression-Grounded Discovery in Single-Cell Genomics (2026)
  Omar Coser
  3.23
• ScDiVa: Masked Discrete Diffusion for Joint Modeling of Single-Cell Identity and Expression (2026)
  Mingxuan Wang et al.
  1.67
• Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models (2025)
  Giovanni Palla et al.
  1.50
• LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations (2025)
  Lorenzo Bini et al.
  1.22
• CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation (2025)
  Rabeya Tus Sadia et al.
  1.00
• scDiffusion: conditional generation of high-quality single-cell data using diffusion model (2024)
  Erpai Luo et al.
  —
• Toward the Identifiability of Comparative Deep Generative Models (2024)
  Romain Lopez et al.
  —
• DiscDiff: Latent Diffusion Model for DNA Sequence Generation (2024)
  Zehui Li et al.
  —
• stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation (2024)
  Xiaoyu Li et al.
  —
• scRDiT: Generating single-cell RNA-seq data by diffusion transformers and accelerating sampling (2024)
  Shengze Dong et al.
  —
• Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding (2024)
  Xiner Li et al.
  —
• White-Box Diffusion Transformer for single-cell RNA-seq generation (2024)
  Zhuorui Cui et al.
  —