Ontology highlight
ABSTRACT:
SUBMITTER: Andreatta M
PROVIDER: S-EPMC10825117 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
Andreatta Massimo M Hérault Léonard L Gueguen Paul P Gfeller David D Berenstein Ariel J AJ Carmona Santiago J SJ
Nature communications 20240129 1
Batch effects in single-cell RNA-seq data pose a significant challenge for comparative analyses across samples, individuals, and conditions. Although batch effect correction methods are routinely applied, data integration often leads to overcorrection and can result in the loss of biological variability. In this work we present STACAS, a batch correction method for scRNA-seq that leverages prior knowledge on cell types to preserve biological variability upon integration. Through an open-source b ...[more]