Tool for precise, interactive, fast and scalable FISH spot detection
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Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
The repository host gives no description.
ChemMine Tools: open source web framework for small molecule analysis
Predicting Cell Health with Morphological Profiles
- carpenter-lab
- morphological-profiling
- crispr
- cell-painting
Multigrate: multiomic data integration for single-cell genomics
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
- cancer
- foundation-model
- single-cell
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
- qa
- mri
- neuroimaging
- niqc
A flexible Julia toolkit for high-dimensional cellular profiles
- julia
- morphological-analysis
- high-content-screening
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
Histology Topography Cytometry Analysis Toolbox
Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning
Accelerated similarity searching of small molecules (bioconductor package)
DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies
legacy signal processing leveraging afni, ants, fsl, nipy, robex, and wavelet toolbox - brnfswdktm
- fmri-preprocessing
- fmri