Bulk brain tissue cell-type deconvolution with bias correction for single-nuclei RNA sequencing data using DeTREM

BACKGROUND: Quantifying cell-type abundance in bulk tissue RNA-sequencing enables researchers to better understand complex systems. Newer deconvolution methodologies, such as MuSiC, use cell-type signatures derived from single-cell RNA-sequencing (scRNA-seq) data to make these calculations. Single-n...

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Detalles Bibliográficos
Autores principales: O’Neill, Nicholas K., Stein, Thor D., Hu, Junming, Rehman, Habbiburr, Campbell, Joshua D., Yajima, Masanao, Zhang, Xiaoling, Farrer, Lindsay A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507917/
https://www.ncbi.nlm.nih.gov/pubmed/37726653
http://dx.doi.org/10.1186/s12859-023-05476-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507917/
https://www.ncbi.nlm.nih.gov/pubmed/37726653
http://dx.doi.org/10.1186/s12859-023-05476-w

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