Stars
Framework to process and call somatic variation from NGS dataset generated using MSK-IMPACT assay
Compendium of tools for the Imaging Platform
Supporting information from "Predicting the Mitochondrial Toxicity of Small Molecules: Insights From Mechanistic Assays and Cell Painting Data" by Marina Garcia de Lomana, Paula Andrea Marin Zapata…
🎓 Path to a free self-taught education in Computer Science!
An introduction to bioimage analysis - http://bioimagebook.github.io
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of dr…
Images and other data from the JUMP Cell Painting Consortium
Self-supervised models for encoding protein localization patterns from microscopy images
Morphological profiling using deep learning
Learning Single-Cell Perturbation Responses using Neural Optimal Transport