mvlearnR and Shiny App for multiview learning
Elise F. Palzer Sandra E. Safo
The package mvlearnR and accompanying Shiny App is intended for integrating
data from multiple sources or views or modalities (e.g. genomics, proteomics,
clinical and demographic data). Most existing software packages for multiview
learning are decentralized and offer limited capabilities, making it difficult
for users to perform comprehensive integrative analysis. The new package wraps
statistical and machine learning methods and graphical tools, providing a
convenient and easy data integration workflow. For users with limited
programming language, we provide a Shiny Application to facilitate data
integration anywhere and on any device. The methods have potential to offer
deeper insights into complex disease mechanisms.
  Availability and Implementation: mvlearnR is available from the following
GitHub repository: https://github.com/lasandrall/mvlearnR. The web application
is hosted on shinyapps.io and available at:
https://multi-viewlearn.shinyapps.io/MultiView_Modeling/