Deciphering the Spatial Modular Patterns of Tissues by Integrating Spatial and Single-Cell Transcriptomic Data-Reference-Cited by-同舟云学术

Deciphering the Spatial Modular Patterns of Tissues by Integrating Spatial and Single-Cell Transcriptomic Data

Published:2022-07-01 Issue:7 Volume:29 Page:650-663
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Shan Xu¹,Chen Jinyu²,Dong Kangning³,Zhou Wei¹,Zhang Shihua³⁴⁵⁶^ORCID

Affiliation:

1. Department of Software Engineering, Yunnan University, Kunming, China.

2. College of Statistics and Data Science, Faculty of Science, Beijing University of Technology, Beijing, China.

3. NCMIS, CEMS, RCSDS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.

4. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China.

5. Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.

6. Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2021.0617

Reference37 articles.

1. SNAP-25, a Known Presynaptic Protein with Emerging Postsynaptic Functions

2. Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity

3. Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram

4. Chapter 12 Ratio of pyramidal cells versus non-pyramidal cells in the human frontal isocortex and changes in ratio with ageing and Alzheimer's disease

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