Graph Neural Networks for Multimodal Single-Cell Data Integration-Reference-Cited by-同舟云学术

Graph Neural Networks for Multimodal Single-Cell Data Integration

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Wen Hongzhi¹,Ding Jiayuan¹,Jin Wei¹,Wang Yiqi¹,Xie Yuying¹,Tang Jiliang¹

Affiliation:

1. Michigan State University, East Lansing, MI, USA

Funder

National Science Foundation

Army Research Office

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539213

Reference36 articles.

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2. Clustering with the Average Silhouette Width

3. Peter W Battaglia Jessica B Hamrick Victor Bapst Alvaro Sanchez-Gonzalez Vinicius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner etal 2018. Relational inductive biases deep learning and graph networks. ArXiv preprint (2018). Peter W Battaglia Jessica B Hamrick Victor Bapst Alvaro Sanchez-Gonzalez Vinicius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner et al. 2018. Relational inductive biases deep learning and graph networks. ArXiv preprint (2018).

4. Joint profiling of chromatin accessibility and gene expression in thousands of single cells

5. Zhi-Jie Cao and Ge Gao . 2022. Multi-omics single-cell data integration and regulatory inference with graph-linked embedding. Nature Biotechnology ( 2022 ), 1--9. Zhi-Jie Cao and Ge Gao. 2022. Multi-omics single-cell data integration and regulatory inference with graph-linked embedding. Nature Biotechnology (2022), 1--9.

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