DeMixSC: a deconvolution framework that uses single-cell sequencing plus a small benchmark dataset for improved analysis of cell-type ratios in complex tissue samples

Bulk deconvolution with single-cell/nucleus RNA-seq data is critical for understanding heterogeneity in complex biological samples, yet the technological discrepancy across sequencing platforms limits deconvolution accuracy. To address this, we introduce an experimental design to match inter-platfor...

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Detalles Bibliográficos
Autores principales: Guo, Shuai, Liu, Xiaoqian, Cheng, Xuesen, Jiang, Yujie, Ji, Shuangxi, Liang, Qingnan, Koval, Andrew, Li, Yumei, Owen, Leah A., Kim, Ivana K., Aparicio, Ana, Shen, John Paul, Kopetz, Scott, Weinstein, John N., DeAngelis, Margaret M., Chen, Rui, Wang, Wenyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592762/
https://www.ncbi.nlm.nih.gov/pubmed/37873318
http://dx.doi.org/10.1101/2023.10.10.561733

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592762/
https://www.ncbi.nlm.nih.gov/pubmed/37873318
http://dx.doi.org/10.1101/2023.10.10.561733

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