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Updated: Jan 19, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
Published on: March 3, 2023
Supervised classification enables rapid annotation of cell atlases
Hannah A Pliner1, Jay Shendure2,3,4,5, Cole Trapnell6,7,8
1Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Abstract:
Single-cell molecular profiling technologies are gaining rapid traction, but the manual process by which resulting cell types are typically annotated is labor intensive and rate-limiting. We describe Garnett, a tool for rapidly annotating cell types in single-cell transcriptional profiling and single-cell chromatin accessibility datasets, based on an interpretable, hierarchical markup language of cell type-specific genes. Garnett successfully classifies cell types in tissue and whole organism datasets, as well as across species.
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