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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...
Autores principales: | O’Neill, Nicholas K., Stein, Thor D., Hu, Junming, Rehman, Habbiburr, Campbell, Joshua D., Yajima, Masanao, Zhang, Xiaoling, Farrer, Lindsay A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
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 |
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