Leveraging data-driven self-consistency for high-fidelity gene expression recovery

Single cell RNA sequencing is a promising technique to determine the states of individual cells and classify novel cell subtypes. In current sequence data analysis, however, genes with low expressions are omitted, which leads to inaccurate gene counts and hinders downstream analysis. Recovering thes...

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Detalles Bibliográficos
Autores principales: Islam, Md Tauhidul, Wang, Jen-Yeu, Ren, Hongyi, Li, Xiaomeng, Khuzani, Masoud Badiei, Sang, Shengtian, Yu, Lequan, Shen, Liyue, Zhao, Wei, Xing, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681852/
https://www.ncbi.nlm.nih.gov/pubmed/36414658
http://dx.doi.org/10.1038/s41467-022-34595-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681852/
https://www.ncbi.nlm.nih.gov/pubmed/36414658
http://dx.doi.org/10.1038/s41467-022-34595-w

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