25 citations · 27 across the 3 of their papers we have counts for
3 papers
stat.AP2026
Group-regularized matrix factorization for fast and reliable module discovery in pan-omics pan-cancer studies
Jun Young Park, Peter W. MacDonald
In pan-omics pan-cancer studies, it is critical to identify latent sources of variation that are shared across particular subsets. This task often requires bidimensionally linked d…
stat.ML2020★ 2 cited
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…
stat.ML2019★ 25 cited
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…