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r shiny web application framework version 1.7.4  (RStudio)

 
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    RStudio r shiny web application framework version 1.7.4
    R Shiny Web Application Framework Version 1.7.4, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/r-shiny+application/r+shiny+web+application+framework+version+1+7+4/pmc12275890-114-1-9
    Average 90 stars, based on 1 article reviews
    r shiny web application framework version 1.7.4 - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: SciViewer- An interactive browser for visualizing single cell datasets
    Article Snippet: SciViewer is developed as an R-shiny ( https://github.com/rstudio/shiny ) application based on the Shiny framework developed by RStudio.

    Article Title: Finding hens in a haystack: Consistency of movement patterns within and across individual laying hens maintained in large groups
    Article Snippet: The tools have been developed in an R-Shiny application ( https://shiny.rstudio.com/application ) and are accessed through a web portal that is available for viewers to visualize the complete dataset (i.e., all 13 hens across the entire study period) by contacting the corresponding author.

    Article Title: FungiExpresZ: an intuitive package for fungal gene expression data analysis, visualization and discovery
    Article Snippet: FungiExpresZ is an R-Shiny application ( https://shiny.rstudio.com ) that can be used online ( https://cparsania.shinyapps.io/FungiExpresZ/ ) or runs as an R package on a local computer or server.

    Article Title: FungiExpresZ: an intuitive package for fungal gene expression data analysis, visualization and discovery.
    Article Snippet: FungiExpresZ is an R-Shiny application (https://shiny.rstudio. com) that can be used online (https://cparsania.shinyapps.io/ FungiExpresZ/) or runs as an R package on a local computer or server.

    Article Title: Cyclone: an accessible pipeline to analyze, evaluate, and optimize multiparametric cytometry data
    Article Snippet: Finally, while we have invested in interoperability and extensive documentation and vignettes for ease of use, Cyclone could be even more accessible to a non-coding user base with the development of a graphical user interface (GUI) such as an R-shiny application ( https://shiny.rstudio.com ) or as a workflow in web-based tools such as the University of California San Francisco (UCSF) Data Library ( https://datalibrary.ucsf.edu/ ), the Chan Zuckerberg Initiative’s CELLxGENE ( https://github.com/chanzuckerberg/cellxgene ), or CellEngine ( https://github.com/primitybio/cellengine-python-toolkit ), which could be the subject of future efforts.



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