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SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data

2025-01-16

Abstract excerpt

Rapid technological advancements have made it possible to generate single-cell data at a large scale. Several laboratories around the world can now generate single-cell transcriptomic data from different tissues. Unsupervised clustering, followed by annotation of the cell type of the identified clusters, is a crucial step in single-cell analyses. However, there is no consensus on the marker genes to use for annota...

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Literature Corpus work
bb45ea1f-bb63-5f44-b9d6-ee4535173b0b
DOI
10.1101/2025.01.13.632775
Open publication

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SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing DataDOI 10.1101/2025.01.13.632775
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