cytomining / DeepProfiler
Morphological profiling using deep learning
☆102Updated last month
Related projects: ⓘ
- ☆51Updated 6 months ago
- Methods for Image-Based Cell Profiling☆48Updated 4 months ago
- Python package for processing image-based profiling data☆76Updated this week
- Supporting data files, documentation, and updated tips for the Cell Painting protocol☆19Updated 2 years ago
- ☆60Updated last year
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆43Updated 6 months ago
- Images and other data from the JUMP Cell Painting Consortium☆154Updated last month
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆18Updated last week
- Self-supervised models for encoding protein localization patterns from microscopy images☆73Updated this week
- Cell Painting Gallery☆62Updated 3 weeks ago
- Predicting Cell Health with Morphological Profiles☆35Updated 2 years ago
- Lists and 384-well plate maps of compounds and genetic perturbations designed to assess connectivity in profiling assays☆18Updated 5 months ago
- Cloud-based data annotation tools for biological images☆73Updated 7 months ago
- Optimizing the Cell Painting assay for image-based profiling☆18Updated last year
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆47Updated last year
- CellProfiler tutorial pipelines and images☆81Updated last week
- An introduction to deepcell and deep learning☆138Updated 2 years ago
- ☆52Updated last year
- Label Free Prediction of Cell Painting from Brightfield Images☆24Updated 2 years ago
- Self-Supervised Vision Transformers for multiplexed imaging datasets☆41Updated 2 months ago
- Multiple-choice microscopy pipeline☆102Updated 2 weeks ago
- This repository contains the codes to run the nuclei segmentation pipeline of the BIOMAG group inspired by Kaggle's Data Science Bowl 201…☆52Updated 4 years ago
- Spatial Single-Cell Analysis Toolkit☆72Updated 3 weeks ago
- Microscopy Image Cytometry Toolkit☆115Updated 2 years ago
- MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…☆30Updated 2 years ago
- Learn morphological states of dynamic cells☆12Updated last year
- Deep learning on histopathology images.☆94Updated 3 years ago
- Image classification for imaging flow cytometry.☆26Updated last year
- Learning cell communication from spatial graphs of cells☆102Updated 8 months ago
- Community-contributed and experimental CellProfiler modules.☆56Updated this week