2 papers
q-bio.GN2023
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 d…
stat.ML2021
sJIVE: Supervised Joint and Individual Variation Explained
Elise F. Palzer, Christine Wendt, Russell Bowler +3
Analyzing multi-source data, which are multiple views of data on the same subjects, has become increasingly common in molecular biomedical research. Recent methods have sought to u…