🏆 #1 Multi-LLM consensus framework | 550+ stars | 95% accuracy | 10+ LLM providers | Leading cell annotation tool
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Updated
Dec 4, 2025 - Python
🏆 #1 Multi-LLM consensus framework | 550+ stars | 95% accuracy | 10+ LLM providers | Leading cell annotation tool
represent each cell in UMAP plots as a pie chart
A Snakemake workflow for analysing single cell data obtained from Cell ranger platform using Seurat package
Tools, wrappers, utilities, and resources for handling single-cell and spatial transcriptomics data
Transcriptional and epigenetic signature of muscle tissue cells linked to atrophy
Predict the celltype of a cluster from Seurat FindMarker data
Visualize Marker Expression as violin plots and on a UMap. To be used after Seurat.Clustering
Multiome (RNA+ATAC from same cell) data generated by Qinyu Zhang in David Bryder's lab. Paper here: https://doi.org/10.7554/eLife.91826.2
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