camlab-bioml/astir

Implementation of hierarchical and correlation mapping algorithms for MapMyCells (https://brain-map.org/bkp/analyze/mapmycells)

Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data

A spatial proteomics foundation model for analyzing multiplexed tissue imaging data across molecular, cellular and tissue scales enabling clinical diagnostics, biological discovery and patient case retrieval.

CellRank: dynamics from multi-view single-cell data

Spatialproteomics is a light weight wrapper around xarray with the intention to facilitate the data exploration and analysis of highly multiplexed immunohistochemistry data. Docs available here: https://sagar87.github.io/spatialproteomics/ .

Cell type annotation for single-cell RNA-seq using multi-LLM consensus

CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework

A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing

Accurate and fast cell marker gene identification with COSG