Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic Data-Reference-Cited by-同舟云学术

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Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic Data

Published:2024-05 Issue:5 Volume:28 Page:3134-3145
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Wang Haiyue¹,Liu Zaiyi²^ORCID,Ma Xiaoke¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Xidian University, Xi'an, China

2. Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

Funder

National Natural Science Foundation of China

Shaanxi Natural Science Funds for Distinguished Young Scholar

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10521573/10452799.pdf?arnumber=10452799

Reference69 articles.

1. Robust decomposition of cell type mixtures in spatial transcriptomics

2. Bulk tissue cell type deconvolution with multi-subject single-cell expression reference

3. Optimal marker gene selection for cell type discrimination in single cell analyses

4. Ovarian surface epithelium at the junction area contains a cancer-prone stem cell niche

5. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Single-Cell Multi-omics Clustering Algorithm Based on Adaptive Weighted Hyper-laplacian Regularization;Lecture Notes in Computer Science;2024

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