scCellFie infers metabolic activities from single-cell and spatial transcriptomics and offers a variety of downstream analyses.
Identifying external communication signals using single-cell transcriptomics data
A pipeline for processing single-cell and spatial long-read transcriptomic data
Subtypist is a computational toolkit for subtype identification of single-cell transcriptomic data without reference.
Pipeline for processing sciT-data
Modular single-cell transcriptomics pipelines for Alzheimer’s disease, integrating R and Python workflows.
Guide and links related to bulk and single-cell RNA-Seq experiments.
R package for loading SciT Loom files
ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes
A rigorous evaluation framework for interpretable machine learning in single-cell transcriptomics.
Workflows for Allen Institute cell-type and electrophysiology data analysis.
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