a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
- segmentation
- cell-segmentation
- cell-biology
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a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Official repository for the ProteinGym benchmarks
Deep Learning Library for Single Cell Analysis
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection