<p>scMarkerBase: Unleashing the power of single-cell and knowledge graphs in differential expression profiling from single-cell RNA transcriptomic data</p>

Meghana  Kshirsagar; Gauri Vaidya; Yang Ye; Michael Lynch; Conor Ryan

doi:10.7490/f1000research.1119685.1

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Kshirsagar M, Vaidya G, Ye Y et al. scMarkerBase: Unleashing the power of single-cell and knowledge graphs in differential expression profiling from single-cell RNA transcriptomic data [version 1; not peer reviewed]. F1000Research 2023, 12:1570 (slides) (https://doi.org/10.7490/f1000research.1119685.1)

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scMarkerBase: Unleashing the power of single-cell and knowledge graphs in differential expression profiling from single-cell RNA transcriptomic data

Meghana Kshirsagar, Gauri Vaidya¹, Yang Ye, Michael Lynch, Conor Ryan

Published 07 Dec 2023 (https://doi.org/10.7490/f1000research.1119685.1)

Author Affiliations

¹ CSIS, University of Limerick, Limerick, County Limerick, Ireland

Copyright © 2023 Kshirsagar M et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 07 Dec 2023

scMarkerBase: Unleashing the power of single-cell and knowledge graphs in differential expression profiling from single-cell RNA transcriptomic data
[version 1; not peer reviewed]

Meghana Kshirsagar, Gauri Vaidya¹, Yang Ye, Michael Lynch, Conor Ryan

Author Affiliations

¹ CSIS, University of Limerick, Limerick, County Limerick, Ireland

Presented at

22nd International Conference on Bioinformatics (InCoB), 2023

Abstract

Competing Interests

No competing interests were disclosed

Keywords

single cell, knowledge graph, pancancer, biomarkers

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