single-cell-diffusion-papers

This repository keeps track of the latest papers on single-cell analysis with diffusion models.

Papers

• stDiff 2024 Briefings in Bioinformatics: a diffusion model for imputing spatial transcriptomics through single-cell transcriptomics
• scDiffEq 2024 Biorxiv: Drift-diffusion modeling of single-cell dynamics with neural stochastic differential equations
• scDiffusion 2024 Arxiv: Conditional generation of high-quality single-cell data using diffusion model
• DDIM 2024 Biorxiv: In Silico Generation of Gene Expression profiles using Diffusion Models
• RegDiffusion 2023 Biorxiv: From Noise to Knowledge: Probabilistic Diffusion-Based Neural Inference of Gene Regulatory Networks
• scDiff 2023 Biorxiv: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
• scVAEDer 2023 Biorxiv: Integrating deep diffusion models and variational autoencoders for single-cell transcriptomics analysis

Why create a repo on single-cell diffusion models?

While transformer models often steal the spotlight, diffusion models offer unique benefits that are worth exploring.

Contribute

We welcome contributions to this repository. Please open a pull request or an issue if you want to add or edit an entry.