GSVA | Gene set variation analysis | Genomics library

 by   rcastelo R Version: Current License: No License

kandi X-RAY | GSVA Summary

kandi X-RAY | GSVA Summary

GSVA is a R library typically used in Artificial Intelligence, Genomics applications. GSVA has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The GSVA package allows one to perform a change in coordinate systems of molecular measurements, transforming the data from a gene by sample matrix to a gene-set by sample matrix, thereby allowing the evaluation of pathway enrichment for each sample. This new matrix of GSVA enrichment scores facilitates applying standard analytical methods such as functional enrichment, survival analysis, clustering, CNV-pathway analysis or cross-tissue pathway analysis, in a pathway-centric manner. For citing GSVA as a software package, please use the following reference:. Hänzelmann S., Castelo R. and Guinney J. GSVA: gene set variation analysis for microarray and RNA-Seq data. BMC Bioinformatics, 14:7, 2013.
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              GSVA has a low active ecosystem.
              It has 119 star(s) with 36 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 5 open issues and 43 have been closed. On average issues are closed in 18 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of GSVA is current.

            kandi-Quality Quality

              GSVA has no bugs reported.

            kandi-Security Security

              GSVA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              GSVA does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              GSVA releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            GSVA Key Features

            No Key Features are available at this moment for GSVA.

            GSVA Examples and Code Snippets

            No Code Snippets are available at this moment for GSVA.

            Community Discussions

            QUESTION

            Adjust size of Shiny progress bar and center it
            Asked 2017-May-18 at 10:11

            I'm working with a Shiny app where I need to calculate processes and while the calc progress is executing, I'm using a progressBar to show the process.

            The problem is that the progress bar is too small, and I don't like the way is shown.

            So, I was thinking that maybe there's a way to implement a progress bar using a Shiny modal (there's a function called modalDialog).

            My idea is that when the user runs the calc, a modal will be opened showing a progressBar.

            This is the progress code:

            ...

            ANSWER

            Answered 2017-May-18 at 09:37

            I would suggest customizing the CSS class of the notification: If you inspect the element of the notifier you see that it has the class "shiny-notification". So you can overwrite some properties of that class with tags$style(). In the example below (for the template: see ?withProgress) i decided to adjust height+width to make it bigger and top+left to center it.

            Source https://stackoverflow.com/questions/44043475

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install GSVA

            This is the development version of the R/Bioconductor package GSVA. This version is unstable and should be used only to test new features. If you are looking for the release version of this package please go to its package release landing page at https://bioconductor.org/packages/GSVA and follow the instructions there to install it.

            Support

            For questions and bug reports regarding the release version of GSVA please use the Bioconductor support site. For feature requests or bug reports and issues regarding this development version of GSVA please use the GitHub issues tab at the top-left of this page.
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            https://github.com/rcastelo/GSVA.git

          • CLI

            gh repo clone rcastelo/GSVA

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            git@github.com:rcastelo/GSVA.git

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