602 citations · 1.2k across the 21 of their papers we have counts for
5 papers · 1 filter
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…
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis
Eric F. Lock, Jun Young Park, Katherine A. Hoadley
Several modern applications require the integration of multiple large data matrices that have shared rows and/or columns. For example, cancer studies that integrate multiple omics…
Integrative Factorization of Bidimensionally Linked Matrices
Jun Young Park, Eric F. Lock
Advances in molecular "omics'" technologies have motivated new methodology for the integration of multiple sources of high-content biomedical data. However, most statistical method…
Bayesian Consensus Clustering
Eric F. Lock, David B. Dunson
The task of clustering a set of objects based on multiple sources of data arises in several modern applications. We propose an integrative statistical model that permits a separate…
Joint and individual variation explained (JIVE) for integrated analysis of multiple data types
Eric F. Lock, Katherine A. Hoadley, J. S. Marron +1
Research in several fields now requires the analysis of data sets in which multiple high-dimensional types of data are available for a common set of objects. In particular, The Can…