• Welcome to our free statistical analysis app

    Olink assays provide extensive coverage of the plasma proteome and delivers high quality data for over 1500 unique proteins. When it comes time to perform data analysis, however, this amount of data can be overwhelming. Olink has therefore developed a web-based application for basic data visualizations and statistical analyses, Olink® Insights Stat Analysis. This application is based around the same tools and methods as are used by the Olink Data Science team and with it you can:

    • View sample-wise distributions of NPX values
    • Generate Principal Component Analysis (PCA) plots
    • Generate heatmaps
    • Perform basic statistical analyses: t-test (2 groups), Analysis of Variance (3+ groups)
    • Download results/figures for more focused data analysis

    Example PCA plot from the app

     

    Requirements

    To get started, all you will need is an NPX data file delivered to you by Olink Analysis Services, or one generated with NPX Manager. If you do not have access to an NPX file but would still like to explore the features of the application, you can use a sample data set which is available in the app (go to the About tab and select Use example data). Please access this free resource using the link below.

    Access the Stat Analysis App

    User manual

    You can view or download a pdf of the app user guide – HERE

    Customized statistical support

    We hope that the app will prove useful, but please note that in addition, Olink also offers fee-for-service statistical services customized to your needs – read more here

    For those with R programming skills we have also developed OlinkAnalyze, a comprehensive R-package designed to facilitate quality control, normalization, and analysis of Olink data. Download it directly from GitHub https://github.com/Olink-Proteomics/OlinkRPackage/tree/master/OlinkAnalyze, or install the package from R with the following commands: > library(devtools); > install_github(repo =’Olink-Proteomics/OlinkRPackage/OlinkAnalyze’)

    Comments or questions?

    We are delighted to be able to offer this statistical analysis tool to our customers and hope that you will find it intuitive and helpful. If you have any comments or questions regarding the app, please contact us using the short form below.