Article

FedscGen: privacy-aware federated batch effect correction of single-cell RNA sequencing data

2024-08-22

Abstract excerpt

<title>Abstract</title> <p>scRNA-seq data from clinical samples are prone to batch effects, while hospitals are hesitant to share their data for centralized analysis, including batch effect correction, due to the privacy sensitivity of human genomic data. We present FedscGen, a novel privacy-aware federated method based on the generative integration approach scGen. FedscGen presents two federated workflows for tr...

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Literature Corpus work: bdf3b7d2-f1b1-5632-98e1-0a213c56a2fe
DOI: 10.21203/rs.3.rs-4807285/v1

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