2 citations · 3 across the 3 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.ME2023★ 1 cited
Scalable Randomized Kernel Methods for Multiview Data Integration and Prediction
Sandra E. Safo, Han Lu
We develop scalable randomized kernel methods for jointly associating data from multiple sources and simultaneously predicting an outcome or classifying a unit into one of two or m…
stat.ME2016★ 2 cited
Sparse Generalized Eigenvalue Problem with Application to Canonical Correlation Analysis for Integrative Analysis of Methylation and Gene Expression Data
Sandra E. Safo, Jeongyoun Ahn, Yongho Jeon +1
We present a method for individual and integrative analysis of high dimension, low sample size data that capitalizes on the recurring theme in multivariate analysis of projecting h…