Publications (27)
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…
Supervised multiway factorization
Eric F. Lock, Gen Li
We describe a probabilistic PARAFAC/CANDECOMP (CP) factorization for multiway (i.e., tensor) data that incorporates auxiliary covariates, SupCP. SupCP generalizes the supervised si…
Bayesian Genome- and Epigenome-wide Association Studies with Gene Level Dependence
Eric F. Lock, David B. Dunson
High-throughput genetic and epigenetic data are often screened for associations with an observed phenotype. For example, one may wish to test hundreds of thousands of genetic varia…
Prediction with Dimension Reduction of Multiple Molecular Data Sources for Patient Survival
Adam Kaplan, Eric F. Lock
Predictive modeling from high-dimensional genomic data is often preceded by a dimension reduction step, such as principal components analysis (PCA). However, the application of PCA…
A Hierarchical Spike-and-Slab Model for Pan-Cancer Survival Using Pan-Omic Data
Sarah Samorodnitsky, Katherine A. Hoadley, Eric F. Lock
Pan-omics, pan-cancer analysis has advanced our understanding of the molecular heterogeneity of cancer, expanding what was known from single-cancer or single-omics studies. However…
BAMIFun: Bayesian Multiple Imputation for Functional Data
Ziren Jiang, Lei Xuan, Eric F. Lock +1
Missing data are pervasive in modern functional datasets, where trajectories are often sparsely or irregularly observed. Although Functional Principal Component Analysis (FPCA) is…