Comprehensive scRNA-seq Model Reveals Artery Endothelial Cell Heterogeneity and Metabolic Preference in Human Vascular Disease-Reference-Cited by-同舟云学术

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Comprehensive scRNA-seq Model Reveals Artery Endothelial Cell Heterogeneity and Metabolic Preference in Human Vascular Disease

Published:2023-11-17 Issue: Volume: Page:
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Zeng Liping,Liu Yunchang,Li Xiaoping,Gong Xue,Tian Miao,Yang Peili,Cai Qi,Wu Gengze,Zeng Chunyu^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission

Sichuan Province Science and Technology Support Program

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s12539-023-00591-x.pdf

Reference34 articles.

1. Cao Y, Fu L, Wu J et al (2022) Integrated analysis of multimodal single-cell data with structural similarity. Nucleic Acids Res 50:e121. https://doi.org/10.1093/nar/gkac781

2. Ding J, Regev A (2021) Deep generative model embedding of single-cell RNA-Seq profiles on hyperspheres and hyperbolic spaces. Nat Commun 12:2554. https://doi.org/10.1038/s41467-021-22851-4

3. Cao J, Spielmann M, Qiu X et al (2019) The single-cell transcriptional landscape of mammalian organogenesis. Nature 566:496–502. https://doi.org/10.1038/s41586-019-0969-x

4. Grabski IN, Street K, Irizarry RA (2023) Significance analysis for clustering with single-cell RNA-sequencing data. Nat Methods 20:1196–1202. https://doi.org/10.1038/s41592-023-01933-9

5. Alquicira-Hernandez J, Powell JE (2021) Nebulosa recovers single-cell gene expression signals by kernel density estimation. Bioinformatics 37:2485–2487. https://doi.org/10.1093/bioinformatics/btab003

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