iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) technology has enabled assessment of transcriptome-wide changes at single-cell resolution. Due to the heterogeneity in environmental exposure and genetic background across subjects, subject effect contributes to the major source of variation in scRN...

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Detalles Bibliográficos
Autores principales: Liu, Yunqing, Zhao, Jiayi, Adams, Taylor S., Wang, Ningya, Schupp, Jonas C., Wu, Weimiao, McDonough, John E., Chupp, Geoffrey L., Kaminski, Naftali, Wang, Zuoheng, Yan, Xiting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463720/
https://www.ncbi.nlm.nih.gov/pubmed/37608264
http://dx.doi.org/10.1186/s12859-023-05432-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463720/
https://www.ncbi.nlm.nih.gov/pubmed/37608264
http://dx.doi.org/10.1186/s12859-023-05432-8

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