1 citations · 1 across the 1 of their papers we have counts for
4 papers
BARRR: Bidimensional Augmented Reduced Rank Regression for Multi-View Multi-Cohort Data
Jiuzhou Wang, Eric F. Lock
Bidimensional data integration across multiple cohorts (i.e., sample groups) and views (i.e., sources or modalities) is crucial in biomedical research to derive holistic insights f…
Multiple Linked Tensor Factorization
Zhiyu Kang, Raghavendra B. Rao, Eric F. Lock
In biomedical research and other fields, it is now common to generate high content data that are both multi-source and multi-way. Multi-source data are collected from different hig…
BAMITA: Bayesian Multiple Imputation for Tensor Arrays
Ziren Jiang, Gen Li, Eric F. Lock
Data increasingly take the form of a multi-way array, or tensor, in several biomedical domains. Such tensors are often incompletely observed. For example, we are motivated by longi…
Empirical Bayes Linked Matrix Decomposition
Eric F. Lock
Data for several applications in diverse fields can be represented as multiple matrices that are linked across rows or columns. This is particularly common in molecular biomedical…