SCOT: Single-Cell Multi-Omics Alignment with Optimal Transport-Reference-Cited by-同舟云学术

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SCOT: Single-Cell Multi-Omics Alignment with Optimal Transport

Published:2022-01-01 Issue:1 Volume:29 Page:3-18
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Demetci Pinar¹²^ORCID,Santorella Rebecca³,Sandstede Björn³,Noble William Stafford⁴⁵,Singh Ritambhara¹²^ORCID

Affiliation:

1. Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA.

2. Department of Computer Science, Brown University, Providence, Rhode Island, USA.

3. Division of Applied Mathematics, Brown University, Providence, Rhode Island, USA.

4. Department of Genome Sciences, University of Washington, Seattle, Washington, USA.

5. Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington, USA.

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.2021.0446

Reference28 articles.

1. Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity

2. Joint analysis of heterogeneous single-cell RNA-seq dataset collections

3. Inferring spatial and signaling relationships between cells from single cell transcriptomic data

Cited by 53 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. scConfluence: single-cell diagonal integration with regularized Inverse Optimal Transport on weakly connected features;Nature Communications;2024-09-05

2. Single cell multiomics systems biology for molecular toxicity;Current Opinion in Toxicology;2024-09

3. An explainable graph neural network approach for integrating multi-omics data with prior knowledge to identify biomarkers from interacting biological domains;2024-08-26

4. Optimal transport for single-cell and spatial omics;Nature Reviews Methods Primers;2024-08-14

5. A scalable approach to topic modelling in single-cell data by approximate pseudobulk projection;Life Science Alliance;2024-08-06

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