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- Publisher Website: 10.1016/j.csbj.2024.06.031
- Scopus: eid_2-s2.0-85197029278
- WOS: WOS:001284021000001
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Article: LiverSCA: A comprehensive and user-friendly cell atlas in human hepatocellular carcinoma
Title | LiverSCA: A comprehensive and user-friendly cell atlas in human hepatocellular carcinoma |
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Authors | |
Keywords | Cell atlas Liver cancer ScRNA-seq |
Issue Date | 1-Dec-2024 |
Publisher | Elsevier |
Citation | Computational and Structural Biotechnology Journal, 2024, v. 23, p. 2740-2745 How to Cite? |
Abstract | We developed a cell atlas named LiverSCA on human liver cancer single-cell RNA sequencing data. It has a user-friendly web interface and comprehensive functionalities aiming to help researchers to make easy access to cellular and molecular landscapes of the tumor microenvironment in liver cancer. LiverSCA includes a complete analytical pipeline that allow mechanistic exploration on a wide variety of functionalities, such as cell clustering, cell annotation, identification of differentially expressed genes, functional enrichment analysis, analysis of cellular crosstalk, and pseudo-time trajectory analysis. Notably, our intuitive web interface allows users, particularly wet-lab researchers, to easily explore and undertake data discovery, without the need to handle any of the raw data. |
Persistent Identifier | http://hdl.handle.net/10722/353677 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Long, Renwen | - |
dc.contributor.author | Suoangbaji | - |
dc.contributor.author | Ng, Irene Oi Lin | - |
dc.contributor.author | Ho, Daniel Wai Hung | - |
dc.date.accessioned | 2025-01-23T00:35:26Z | - |
dc.date.available | 2025-01-23T00:35:26Z | - |
dc.date.issued | 2024-12-01 | - |
dc.identifier.citation | Computational and Structural Biotechnology Journal, 2024, v. 23, p. 2740-2745 | - |
dc.identifier.uri | http://hdl.handle.net/10722/353677 | - |
dc.description.abstract | We developed a cell atlas named LiverSCA on human liver cancer single-cell RNA sequencing data. It has a user-friendly web interface and comprehensive functionalities aiming to help researchers to make easy access to cellular and molecular landscapes of the tumor microenvironment in liver cancer. LiverSCA includes a complete analytical pipeline that allow mechanistic exploration on a wide variety of functionalities, such as cell clustering, cell annotation, identification of differentially expressed genes, functional enrichment analysis, analysis of cellular crosstalk, and pseudo-time trajectory analysis. Notably, our intuitive web interface allows users, particularly wet-lab researchers, to easily explore and undertake data discovery, without the need to handle any of the raw data. | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Computational and Structural Biotechnology Journal | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Cell atlas | - |
dc.subject | Liver cancer | - |
dc.subject | ScRNA-seq | - |
dc.title | LiverSCA: A comprehensive and user-friendly cell atlas in human hepatocellular carcinoma | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.csbj.2024.06.031 | - |
dc.identifier.scopus | eid_2-s2.0-85197029278 | - |
dc.identifier.volume | 23 | - |
dc.identifier.spage | 2740 | - |
dc.identifier.epage | 2745 | - |
dc.identifier.eissn | 2001-0370 | - |
dc.identifier.isi | WOS:001284021000001 | - |
dc.identifier.issnl | 2001-0370 | - |