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Bioconductor - GNOSIS

GNOSIS

This is the released version of GNOSIS; for the devel version, see GNOSIS.

Genomics explorer using statistical and survival analysis in R

Bioconductor version: Release (3.21)

GNOSIS incorporates a range of R packages enabling users to efficiently explore and visualise clinical and genomic data obtained from cBioPortal. GNOSIS uses an intuitive GUI and multiple tab panels supporting a range of functionalities. These include data upload and initial exploration, data recoding and subsetting, multiple visualisations, survival analysis, statistical analysis and mutation analysis, in addition to facilitating reproducible research.

Author: Lydia King [aut, cre] ORCID: 0000-0002-0696-9811 , Marcel Ramos [ctb]

Maintainer: Lydia King <l.king18 at universityofgalway.ie>

Citation (from within R, enter citation("GNOSIS")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GNOSIS")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GNOSIS")
GNOSIS Overview HTML R Script Reference Manual PDF NEWS Text LICENSE Text GNOSIS: an R Shiny app supporting cancer genomics survival analysis with cBioPortal Video Details biocViews GUI, ShinyApps, Software, Survival Version 1.6.0 In Bioconductor since BioC 3.18 (R-4.3) (1.5 years) License MIT + file LICENSE Depends R (>= 4.3.0), shiny, shinydashboard, shinydashboardPlus, dashboardthemes, shinyWidgets, shinymeta, tidyverse, operator.tools, maftools Imports DT, fontawesome, shinycssloaders, cBioPortalData, shinyjs, reshape2, RColorBrewer, survival, survminer, stats, compareGroups, rpart, partykit, DescTools, car, rstatix, fabricatr, shinylogs, magrittr System Requirements URL https://github.com/Lydia-King/GNOSIS/ Bug Reports https://github.com/Lydia-King/GNOSIS/issues See More Package Archives

Follow Installation instructions to use this package in your R session.


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