<p>Comparative analysis of annotation tools in grouping cell types from single-cell RNA sequencing data</p>

Meghana  Kshirsagar; Gauri Vaidya

doi:10.7490/f1000research.1119684.1

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Kshirsagar M and Vaidya G. Comparative analysis of annotation tools in grouping cell types from single-cell RNA sequencing data [version 1; not peer reviewed]. F1000Research 2023, 12:1569 (slides) (https://doi.org/10.7490/f1000research.1119684.1)

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Comparative analysis of annotation tools in grouping cell types from single-cell RNA sequencing data

Meghana Kshirsagar , Gauri Vaidya¹

Published 07 Dec 2023 (https://doi.org/10.7490/f1000research.1119684.1)

Author Affiliations

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

Copyright © 2023 Kshirsagar M and Vaidya G. 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

Comparative analysis of annotation tools in grouping cell types from single-cell RNA sequencing data
[version 1; not peer reviewed]

Meghana Kshirsagar , Gauri Vaidya¹

Author Affiliations

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

Presented at

Bioconductor Annual Conference (BioC), 2023

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Single - cell, Gene profiling, immune cells, cell annotation, immunotherapy, tumour progression, survival analysis

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