Transmorph: a unifying computational framework for modular single-cell RNA-seq data integration.

ABSTRACT: Data integration of single-cell RNA-seq (scRNA-seq) data describes the task of embedding datasets gathered from different sources or experiments into a common representation so that cells with similar types or states are embedded close to one another independently from their dataset of origin. Data integration is a crucial step in most scRNA-seq data analysis pipelines involving multiple batches. It improves data visualization, batch effect reduction, clustering, label transfer, and cell type inference. Many data integration tools have been proposed during the last decade, but a surge in the number of these methods has made it difficult to pick one for a given use case. Furthermore, these tools are provided as rigid pieces of software, making it hard to adapt them to various specific scena

SUBMITTER: Fouche A 

PROVIDER: S-EPMC10336778 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature