Výsledky vyhledávání - "Chaozhong, Liu"

Akademický článek

Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss

Autor: Chaozhong Liu, Linhua Wang, Zhandong Liu

Publikováno v: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-22 (2023)

Abstract Background Single-cell omics technology is rapidly developing to measure the epigenome, genome, and transcriptome across a range of cell types. However, it is still challenging to integrate omics data from different modalities. Here, we prop

Externí odkaz: https://doaj.org/article/0c6f2c7dc35d4d3f93c4e919ad565ec3

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Akademický článek

Prediction of residual life of rotating components based on adaptive dynamic weighting and gated double attention unit.

Autor: Chaozhong Liu¹ 3693533690@qq.com

Publikováno v: Journal of Vibroengineering. Sep2024, Vol. 26 Issue 6, p1385-1403. 19p.

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Akademický článek

Correction: Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss

Autor: Chaozhong Liu, Linhua Wang, Zhandong Liu

Publikováno v: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-2 (2023)

Externí odkaz: https://doaj.org/article/7f30c2c39e634f8387ef3fedb839ba5a

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Unraveling Spatial Gene Associations with SEAGAL: a Python Package for Spatial Transcriptomics Data Analysis and Visualization

Autor: Linhua Wang, Chaozhong Liu, Zhandong Liu

Publikováno v: bioRxiv

SummaryIn the era where transcriptome profiling moves towards single-cell and spatial resolutions, the traditional co-expression analysis lacks the power to fully utilize such rich information to unravel spatial gene associations. Here we present a P

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e74e278cddaaa9f98263bf6cb0f884f
https://europepmc.org/articles/PMC9948987/

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scGREAT: Graph-based regulatory element analysis tool for single-cell multi-omics data

Autor: Chaozhong Liu, Linhua Wang, Zhandong Liu

Publikováno v: bioRxiv

MotivationWith the development in single-cell multi-omics sequencing technology and data integration algorithms, we have entered the single-cell multi-omics era. Current multi-omics analysis algorithms failed to systematically dissect the heterogenei

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c8d83bfe2121c9cce118f7a08be8c66
https://doi.org/10.1101/2023.01.27.525916

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Accurate cell type deconvolution in spatial transcriptomics using a batch effect-free strategy

Autor: Linhua Wang, Ling Wu, Chaozhong Liu, Wanli Wang, Xiang H.-F. Zhang, Zhandong Liu

Sequencing-based spatial transcriptomics (ST) techniques have been groundbreaking in dissecting cell-cell communications within tissues by profiling positional gene expression. However, the most widely used ST technique, Visium Spatial Gene Expressio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4254b8c7ab92a4e9d53fb9f5e05d817a
https://doi.org/10.1101/2022.12.15.520612

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Latent factor in Brain RNA-seq studies reflects cell type and clinical heterogeneity

Autor: Rami Al-Ouran, Chaozhong Liu, Linhua Wang, Ying-Wooi Wan, Xiqi Li, Aleksandar Milosavljevic, Joshua M. Shulman, Zhandong Liu

With the growing availability of Alzheimer’s disease (AD) transcriptomic data, several studies have nominated new therapeutic targets. However, a major challenge is accounting for latent (hidden) factors which affect the discovery of therapeutic ta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bea66922b430feae07adb6bc43c6abe6
https://doi.org/10.1101/2022.11.13.516360

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Single-cell Multi-omics Integration for Unpaired Data by a Siamese Network with Graph-based Contrastive Loss

Autor: Chaozhong Liu, Linhua Wang, Zhandong Liu

Background Single-cell omics technology is rapidly developing to measure the epigenome, genome, and transcriptome across a range of cell types. However, it is still challenging to integrate omics data from different modalities. Here, we propose a var

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5498ee41c75b8b9cade106a7ed575e8
https://doi.org/10.1101/2022.06.07.495170

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Akademický článek

Surface Phosphatidylserine Is Responsible for the Internalization on Microvesicles Derived from Hypoxia-Induced Human Bone Marrow Mesenchymal Stem Cells into Human Endothelial Cells.

Autor: Xiaojuan Wei, Chaozhong Liu, Hengxiang Wang, Lisheng Wang, Fengjun Xiao, Zikuan Guo, Hongchao Zhang

Publikováno v: PLoS ONE, Vol 11, Iss 1, p e0147360 (2016)

Previous data have proven that microvesicles derived from hypoxia-induced mesenchymal stem cells (MSC-MVs) can be internalized into endothelial cells, enhancing their proliferation and vessel structure formation and promoting in vivo angiogenesis. Ho

Externí odkaz: https://doaj.org/article/63533e83b3714a3b954fa052617c2fd7

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Akademický článek

Endoplasmic Reticulum Is Involved in Myocardial Injury in a Miniature Swine Model of Coronary Artery Stenosis Exposed to Acceleration-Associated Stress.

Autor: Haitao Zhang, Meng Chai, Chaozhong Liu, Jinjin Sun, Congchun Huang, Xinya Yu, Yi Tian, Huilan Luo

Publikováno v: PLoS ONE, Vol 10, Iss 7, p e0132654 (2015)

This study aimed to investigate the effects of myocardial injury in a minimally-invasive miniature swine model with different levels of coronary artery stenosis (CAS) and exposed to maximal tolerated +Gz. Proximal left anterior descending branch was

Externí odkaz: https://doaj.org/article/b716513ee71a438e853d10b7d84e133b

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