16 citations · 34 across the 11 of their papers we have counts for
11 papers
survivalContour: Visualizing predicted survival via colored contour plots
Yushu Shi, Liangliang Zhang, Kim-Anh Do +2
Advances in survival analysis have facilitated unprecedented flexibility in data modeling, yet there remains a lack of tools for graphically illustrating the influence of continuou…
Latent Network Estimation and Variable Selection for Compositional Data via Variational EM
Nathan Osborne, Christine B. Peterson, Marina Vannucci
Network estimation and variable selection have been extensively studied in the statistical literature, but only recently have those two challenges been addressed simultaneously. In…
Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer
Yushu Shi, Liangliang Zhang, Kim-Anh Do +2
There is a keen interest in characterizing variation in the microbiome across cancer patients, given increasing evidence of its important role in determining treatment outcomes. He…
aPCoA: Covariate Adjusted Principal Coordinates Analysis
Yushu Shi, Liangliang Zhang, Kim-Anh Do +2
In fields such as ecology, microbiology, and genomics, non-Euclidean distances are widely applied to describe pairwise dissimilarity between samples. Given these pairwise distances…
Bayesian Inference of Networks Across Multiple Sample Groups and Data Types
Elin Shaddox, Christine B. Peterson, Francesco C. Stingo +5
In this paper, we develop a graphical modeling framework for the inference of networks across multiple sample groups and data types. In medical studies, this setting arises wheneve…
Estimating the Optimal Linear Combination of Biomarkers using Spherically Constrained Optimization
Priyam Das, Debsurya De, Raju Maiti +5
In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing an empirical estimate of the area under th…
Bayesian Modeling of Multiple Structural Connectivity Networks During the Progression of Alzheimer's Disease
Christine B. Peterson, Nathan Osborne, Francesco C. Stingo +3
Alzheimer's disease is the most common neurodegenerative disease. The aim of this study is to infer structural changes in brain connectivity resulting from disease progression usin…
NExUS: Bayesian simultaneous network estimation across unequal sample sizes
Priyam Das, Christine Peterson, Kim-Anh Do +2
Network-based analyses of high-throughput genomics data provide a holistic, systems-level understanding of various biological mechanisms for a common population. However, when esti…
Testing hypotheses on a tree: new error rates and controlling strategies
Marina Bogomolov, Christine B. Peterson, Yoav Benjamini +1
We introduce a multiple testing procedure (TreeBH) which addresses the challenge of controlling error rates at multiple levels of resolution. Conceptually, we frame this problem as…
Many Phenotypes without Many False Discoveries: Error Controlling Strategies for Multi-Traits Association Studies
Christine Peterson, Marina Bogomolov, Yoav Benjamini +1
The genetic basis of multiple phenotypes such as gene expression, metabolite levels, or imaging features is often investigated by testing a large collection of hypotheses, probing…
Regularized Partial Least Squares with an Application to NMR Spectroscopy
Genevera I. Allen, Christine Peterson, Marina Vannucci +1
High-dimensional data common in genomics, proteomics, and chemometrics often contains complicated correlation structures. Recently, partial least squares (PLS) and Sparse PLS metho…