Predicting Cell Health with Morphological Profiles

Processed Cell Painting Data for the LINCS Drug Repurposing Project

Predicting pharmacodynamic responses to cancer drugs using cell morphology

Benchmarking data processing strategies for Cell Painting data of NF1 Schwann cells. See analysis repository (https://github.com/WayScience/NF1_SchwannCell_data_analysis) for information on how the data was interpreted.

👩‍🍳 Recipe repository for image-based profiling of Pooled Cell Painting experiments

Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic

[CVPRW 2024] Learning interpretable single-cell morphological profiles from 3D Cell Painting z-stacks

Image-based profiling and machine learning to predict failing vs. non-failing cardiac fibroblasts

Accompanying code for Image2Omics

Single cell analysis of the JUMP Cell Painting consortium pilot data (cpg0000)

🛠️ Use me to version control Pooled Cell Painting data and processing pipelines

cpg0011-lipocyteprofiler - Batch1 and Batch3

quickly generate overviews of Cell Painting image plates