Novartis / UMM-DiscoveryLinks
UMM-Discovery is a fully unsupervised deep learning method to cluster cellular images with similar phenotypes together, solely based on the intensity values.
☆10Updated 4 years ago
Alternatives and similar repositories for UMM-Discovery
Users that are interested in UMM-Discovery are comparing it to the libraries listed below
Sorting:
- Python package for processing image-based profiling data☆124Updated this week
- Self-supervised models for encoding protein localization patterns from microscopy images☆77Updated last month
- Cell Painting Gallery☆106Updated 2 weeks ago
- Predicting Cell Health with Morphological Profiles☆37Updated 3 years ago
- Supporting data files, documentation, and updated tips for the Cell Painting protocol☆22Updated 3 years ago
- Images and other data from the JUMP Cell Painting Consortium☆176Updated this week
- ☆65Updated 7 months ago
- Raw format to OME-TIFF converter☆55Updated last week
- Find profile pairs and compute metrics between them.☆19Updated last week
- Lists and 384-well plate maps of compounds and genetic perturbations designed to assess connectivity in profiling assays☆23Updated 8 months ago
- Your Personal Assistant in Computational Bioimaging.☆44Updated 5 months ago
- Community-contributed and experimental CellProfiler modules.☆67Updated this week
- A browser-based deep learning tool for image annotation, segmentation, classification, and measurement.☆35Updated 2 weeks ago
- Morphological profiling using deep learning☆119Updated 10 months ago
- An Ilastik-like interactive pixel classifier.☆16Updated last year
- Organoid Localization and Quantification Using Deep Convolutional Neural Networks☆27Updated 3 years ago
- Self-Supervised Vision Transformers for multiplexed imaging datasets☆54Updated last year
- CellProfiler tutorial pipelines and images☆94Updated last month
- collection of mass spectrometry imaging workflows☆15Updated 3 months ago
- Command-line client for Fractal☆46Updated this week
- rna2seg☆17Updated 4 months ago
- Learn morphological states of dynamic cells☆12Updated 2 years ago
- Jupyter notebooks for CellProfiler and friends☆14Updated 7 years ago
- Optimizing the Cell Painting assay for image-based profiling☆21Updated last month
- Bio-Formats image file format to raw format converter☆97Updated last week
- PAthological Data Obsession - cloud native digital pathology datasets☆18Updated 2 years ago
- Python program to generate NetworkX graphs from segmented images.☆15Updated 2 years ago
- ☆34Updated last year
- Run encapsulated docker containers with CellProfiler in the Amazon Web Services infrastructure.☆43Updated last week
- scPortrait is a scalable toolkit to generate single-cell representations from raw microscopy images☆51Updated last week