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grafify online: A web app for graphing and statistical analysis.

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Τίτλος: grafify online: A web app for graphing and statistical analysis.
Συγγραφείς: Shenoy AR; Department of Infectious Disease, Imperial College London, London, United Kingdom.
Πηγή: PLoS biology [PLoS Biol] 2026 Aug 03; Vol. 24 (8), pp. e3003909. Date of Electronic Publication: 2026 Aug 03 (Print Publication: 2026).
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101183755 Publication Model: eCollection Cited Medium: Internet ISSN: 1545-7885 (Electronic) Linking ISSN: 15449173 NLM ISO Abbreviation: PLoS Biol Subsets: MEDLINE
Imprint Name(s): Original Publication: San Francisco, CA : Public Library of Science, [2003]-
Ιατρικοί όροι (MeSH): Software* , Computer Graphics*, Internet ; Data Interpretation, Statistical
Περίληψη: grafify online is a free, browser-based app for generating publication-quality graphs and performing statistical tests and post-hoc comparisons. Users can customize plots and explore statistical results without needing R programming experience.
(Copyright: © 2026 Avinash R. Shenoy. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Competing Interests: The author has declared that no competing interests exist.
Entry Date(s): Date Created: 20260803 Date Completed: 20260803 Latest Revision: 20260803
Update Code: 20260804
DOI: 10.1371/journal.pbio.3003909
PMID: 42545955
Βάση Δεδομένων: MEDLINE
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  Data: grafify online is a free, browser-based app for generating publication-quality graphs and performing statistical tests and post-hoc comparisons. Users can customize plots and explore statistical results without needing R programming experience.<br /> (Copyright: © 2026 Avinash R. Shenoy. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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  Data: The author has declared that no competing interests exist.
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