Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
- single-cell
- scrna-seq
- scatac-seq
- deep-neural-networks
Repository Index
47,133 repositories indexed
49–67 of 67 · Most stars
MCP server for spatial transcriptomics analysis through natural language interfaces.
- bioinformatics
- cell-communication
- deconvolution
- machine-learning
Predicting Cell Health with Morphological Profiles
- carpenter-lab
- morphological-profiling
- crispr
- cell-painting
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
- bioimage-analysis
- cell-classification
- computer-vision
- digital-pathology
NASA/JPL SPICE Toolkit for C – patched for cross-platform compatibility
- astronomy
- astronomical-algorithms
- celestial-mechanics
- nasa
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
3D shape analysis using deep learning
- cancer-biology
- cell-biology
- deep-learning
- geometric-deep-learning
A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
Single-cell fluorescence microscopy data analysis
- microscopy
- fluorescence-microscopy-imaging
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
- bioinformatics
- cell-type-deconvolution
- computational-biology
- deconvolution
A flexible Julia toolkit for high-dimensional cellular profiles
- julia
- morphological-analysis
- high-content-screening
scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection
A simple ffi-accelerated vector library for everyone with support for z-axis
Analysis of cell migration in Igor Pro
- igor
- imagej
- cell-migration
- tracking
Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning
Accelerated similarity searching of small molecules (bioconductor package)
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.