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tidytof: a user-friendly framework for scalable and reproducible high-dimensional cytometry data analysis.

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Title: tidytof: a user-friendly framework for scalable and reproducible high-dimensional cytometry data analysis.
Authors: Keyes TJ; Medical Scientist Training Program, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA., Koladiya A; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA., Lo YC; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA., Nolan GP; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA., Davis KL; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Center for Cancer Cell Therapy, Stanford University School of Medicine, Stanford, CA 94305, USA.
Source: Bioinformatics advances [Bioinform Adv] 2023 Jun 09; Vol. 3 (1), pp. vbad071. Date of Electronic Publication: 2023 Jun 09 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2635-0041 (Electronic) Linking ISSN: 26350041 NLM ISO Abbreviation: Bioinform Adv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Keyes+TJ%22">Keyes TJ</searchLink>; Medical Scientist Training Program, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.<br /><searchLink fieldCode="AU" term="%22Koladiya+A%22">Koladiya A</searchLink>; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.<br /><searchLink fieldCode="AU" term="%22Lo+YC%22">Lo YC</searchLink>; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.<br /><searchLink fieldCode="AU" term="%22Nolan+GP%22">Nolan GP</searchLink>; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.<br /><searchLink fieldCode="AU" term="%22Davis+KL%22">Davis KL</searchLink>; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Center for Cancer Cell Therapy, Stanford University School of Medicine, Stanford, CA 94305, USA.
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  Data: <searchLink fieldCode="JN" term="%229918282081306676%22">Bioinformatics advances</searchLink> [Bioinform Adv] 2023 Jun 09; Vol. 3 (1), pp. vbad071. <i>Date of Electronic Publication: </i>2023 Jun 09 (<i>Print Publication: </i>2023).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9918282081306676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2635-0041 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226350041%22">26350041 </searchLink><i>NLM ISO Abbreviation: </i>Bioinform Adv <i>Subsets: </i>PubMed not MEDLINE
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