Manual cell selection in single cell transcriptomics using scSELpy supports the analysis of immune cell subsets.

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Bibliographic Details
Title:	Manual cell selection in single cell transcriptomics using scSELpy supports the analysis of immune cell subsets.
Authors:	Dedden M; Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany., Wiendl M; Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany., Müller TM; Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.; Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany., Neurath MF; Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.; Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany., Zundler S; Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.; Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany.
Source:	Frontiers in immunology [Front Immunol] 2023 Apr 25; Vol. 14, pp. 1027346. Date of Electronic Publication: 2023 Apr 25 (Print Publication: 2023).
Publication Type:	Journal Article
Journal Info:	Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1664-3224
DOI:	10.3389/fimmu.2023.1027346