scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data-Reference-Cited by-同舟云学术

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scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data

Published:2024-08-05 Issue:1 Volume:25 Page:
ISSN:1474-760X
Container-title:Genome Biology
language:en
Short-container-title:Genome Biol

Author:

Cao Xiyue,Huang Yu-An^ORCID,You Zhu-Hong,Shang Xuequn,Hu Lun,Hu Peng-Wei,Huang Zhi-An

Funder

National Science Fund for Distinguished Young Scholars

Central University Basic Research Fund of China

Natural Science Foundation of Guangdong Province of China

Specific Research Project of Guangxi for Research Bases and Talents

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1186/s13059-024-03357-w.pdf

Reference79 articles.

1. Potter SS. Single-cell RNA sequencing for the study of development, physiology and disease. Nat Rev Nephrol. 2018;14:479–92.

2. Kolodziejczyk AA, Kim JK, Svensson V, Marioni JC, Teichmann SA. The technology and biology of single-cell RNA sequencing. Mol Cell. 2015;58:610–20.

3. González-Silva L, Quevedo L, Varela I. Tumor functional heterogeneity unraveled by scRNA-seq technologies. Trends in cancer. 2020;6:13–9.

4. Chen Y-P, Yin J-H, Li W-F, Li H-J, Chen D-P, Zhang C-J, Lv J-W, Wang Y-Q, Li X-M, Li J-Y. Single-cell transcriptomics reveals regulators underlying immune cell diversity and immune subtypes associated with prognosis in nasopharyngeal carcinoma. Cell Res. 2020;30:1024–42.

5. Kim H, Lee J, Kang K, Yoon S. MarkerCount: a stable, count-based cell type identifier for single-cell RNA-seq experiments. Computational Structural Biotechnology Journal. 2022;20:3120–32.

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1. scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data;Genome Biology;2024-08-05

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