9 citations · 9 across the 5 of their papers we have counts for
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stat.ME2023
Extensions of Heterogeneity in Integration and Prediction (HIP) with R Shiny Application
J. Butts, C. Wendt, R. Bowler +4
Multiple data views measured on the same set of participants is becoming more common and has the potential to deepen our understanding of many complex diseases by analyzing these d…
stat.ME2021
Robust Integrative Biclustering for Multi-view Data
W. Zhang, C. Wendt, R. Bowler +2
In many biomedical research, multiple views of data (e.g., genomics, proteomics) are available, and a particular interest might be the detection of sample subgroups characterized b…
stat.ME2021
Accounting for data heterogeneity in integrative analysis and prediction methods: An application to Chronic Obstructive Pulmonary Disease
J. Butts, C. Wendt, R. Bowler +4
Epidemiologic and genetic studies in chronic obstructive pulmonary disease (COPD) and many complex diseases suggest subgroup disparities (e.g., by sex). We consider this problem fr…