virtual-cell

Awesome-AI-Virtual-Cell: papers, datasets, benchmarks, talks, and community resources for AIVC

scDFM: Distributional Flow Matching for Robust Single-Cell Perturbation Prediction (ICLR 2026)

Single cell foundation model with federated tabular learning

PULSAR: a Foundation Model for Multi-scale and Multicellular Biology

GCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language

Code for "Foundation Models Improve Perturbation Response Prediction"

Decoding Single-Cell Omics of Perturbation Responses Using DeSCOPE

CONCERT predicts niche-aware perturbation responses in spatial transcriptomics

[ICML'26] SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes

Efficient and diverse virtual cell priors in JAX for end-to-end pretraining

GCModeller VirtualCell Simulator and Toolkit Module

Official repository for FreeBridge - MICCAI 2026 (Early Accept)

MVCPert: multimodal virtual cell modelling of transcriptomic and morphological responses to chemical perturbations

A hands-on virtual cell perturbation prediction course for experimental biologists.

Agentic feature distillation and residual-Delta prediction for virtual cells (drug perturbation response modeling)

AnimaFlow-AI: End-to-end AI drug-discovery methodology hub — single-cell & spatial omics → virtual-cell target ID → multimodal screening (small molecule / peptide / nucleic acid). Case studies: COVID-19, kidney, PD-L1.

Store and analyze scRNAseq data with extreme memory efficiency.

A bilingual work-in-progress book on AI-driven phenotypic drug discovery, from high-throughput screening and Cell Painting to machine learning and drug development.

Unofficial participant source for leakage-safe virtual yeast perturbation response prediction (GOAI AI for Research).

Toward a self-learning AI agent for drug repurposing: building human-scale representations for virtual patients. Module-panel evaluation benchmark: 332 modules, 1,916 drugs. Companion to the SteeraMed Bench paper.