Awesome-AI-Virtual-Cell: papers, datasets, benchmarks, talks, and community resources for AIVC
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Updated
Oct 19, 2026 - HTML
Awesome-AI-Virtual-Cell: papers, datasets, benchmarks, talks, and community resources for AIVC
[ICLR 2026] scDFM: Distributional Flow Matching for Robust Single-Cell Perturbation Prediction
PULSAR: a Foundation Model for Multi-scale and Multicellular Biology
Single cell foundation model with federated tabular learning
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
Generative modeling of spatially resolved perturbation responses with CONCERT
State-of-the-art bio cell models for inference and training. Minimal, readable, and produciton-ready.
A Simple Atlas Transfer Method · Top 100 on the Public Leaderboard (#82) · Score: 0.1545618019 · September 10, 2026
[ICML'26] SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes
VCDesign: Finite-Budget Intervention Design for Virtual Cells
A hands-on virtual cell perturbation prediction course for experimental biologists.
Efficient and diverse virtual cell priors in JAX for end-to-end pretraining
Accepted at the NeurIPS 2026 Workshop ML4Molecules: Do Perturbation Predictors Learn Gene Interactions? Diagnosing Extrapolation in Agentic Screening
Measurement resolution for fine-grained perturbation prediction
Official repository for FreeBridge - MICCAI 2026 (Early Accept)
Official Implementation of SubcellPert: Benchmarking Subcellular Perturbation Prediction
Store and analyze scRNAseq data with extreme memory efficiency.
A cell has a normal gene-activity pattern. Knock out one gene and that pattern changes. This project trains a small model to guess the new pattern from (1) the normal pattern and (2) a numeric fingerprint of the knocked-out gene.
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