Single-cell architectural surgery for reference atlas mapping without data sharing
scArches uses transfer learning and architectural surgery to seamlessly map new single-cell query datasets onto massive reference atlases (like the Human Cell Atlas) without retraining or sharing raw data.
Architectural surgery updating reference neural networks with query-specific parametersPreserves privacy and eliminates batch effects during cross-study integrationExtensible to scRNA-seq, scATAC-seq, and spatial transcriptomics datasetsIntegrates with scvi-tools and Scanpy ecosystems
scArches uses transfer learning and architectural surgery to seamlessly map new single-cell query datasets onto massive reference atlases (like the Human Cell Atlas) without retraining or sharing raw data.
Informationen mit einer offiziellen Primärquelle abgeglichen; kein Praxistest. Quelle · Zuletzt geprüft: 20/09/2026, 11:09:40 UTC
Hauptmerkmale
Architectural surgery updating reference neural networks with query-specific parameters
Preserves privacy and eliminates batch effects during cross-study integration
Extensible to scRNA-seq, scATAC-seq, and spatial transcriptomics datasets
Integrates with scvi-tools and Scanpy ecosystems
Academic Context & Research Evidence
Biological & Workflow Fit
Biological Application
Cell-type annotation, patient disease state mapping, and cell atlas expansion
Use this citation format when referencing scArches in scientific publications and benchmark papers.
@software{scarches_2026,
title = {{scArches}},
author = {{Helmholtz Munich (Theis Lab)}},
year = {2026},
url = {https://github.com/theislab/scarches},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}
Peer-Reviewed Literature & Preprints
Live scientific citations queried from Europe PMC and PubMed for scArches.
⏳ Querying Europe PMC & PubMed for indexed publications...
Technische Daten & Produktinformationen
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.