CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
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CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
Methods for Image-Based Cell Profiling
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
MCP server for spatial transcriptomics analysis through natural language interfaces.
Multigrate: multiomic data integration for single-cell genomics
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
Vendor-agnostic, FHIR-Genomics-aligned API contract for cross-vendor NGS interpretation. JSON Schema + TypeScript + Python pydantic.