In this article, we present new methods to analyze data from an experiment using rodent
models to investigate the role of p27, an important cell-cycle mediator, in early colon …

In this age of targeted therapy, the failure of most current drug‐discovery efforts to yield safe,
effective, and inexpensive drugs has generated widespread concern. Successful drug …

Reverse-phase protein array (RPPA) analysis is a powerful, relatively new platform that allows
for high-throughput, quantitative analysis of protein networks. One of the challenges that …

In this article we study penalized regression splines (P-splines), which are low-order basis
splines with a penalty to avoid undersmoothing. Such P-splines are typically not spatially …

Graphical models are powerful tools that are regularly used to investigate complex dependence
structures in high-throughput biomedical datasets. They allow for holistic, systems-level …

Background Endogenous or iatrogenic antitumour immune responses can improve the
course of follicular lymphoma, but might be diminished by immune checkpoints in the tumour …

Array-based comparative genomic hybridization (aCGH) is a high-resolution, high-throughput
technique for studying the genetic basis of cancer. The resulting data consist of log …

We develop a functional conditional autoregressive (CAR) model for spatially correlated data
for which functions are collected on areal units of a lattice. Our model performs functional …

Background Standard treatments for indolent non-Hodgkin lymphomas are often toxic, and
most patients ultimately relapse. Lenalidomide, an immunomodulatory agent, is effective as …

Hierarchical functional data are widely seen in complex studies where subunits are nested
within units, which in turn are nested within treatment groups. We propose a general …