CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
- ai4science
- llm
- multiagent-systems
- prompt-engineering
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CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
The framework for quantification of neuronal anatomy
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Predicting Cell Health with Morphological Profiles
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
3D shape analysis using deep learning
Single-cell fluorescence microscopy data analysis
Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.
Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning
gateway for segmentation data to Rstats & visualization with ggplot2 - in development
DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies