This review examines the state of Bayesian thinking as Statistics in Medicine was launched
in 1982, reflecting particularly on its applicability and uses in medical research. It then looks …

We introduce a new Empirical Bayes approach for large-scale hypothesis testing, including
estimating false discovery rates (FDRs), and effect sizes. This approach has two key …

We describe the draft genome of the microcrustacean Daphnia pulex, which is only 200
megabases and contains at least 30,907 genes. The high gene count is a consequence of …

The problem of identifying differentially expressed genes in designed microarray
experiments is considered. Lonnstedt and Speed (2002) derived an expression for the …

Non-biological experimental variation or “batch effects" are commonly observed across
multiple batches of microarray experiments, often rendering the task of combining data from …

The p53 tumor suppressor protein is a critical regulator of the cellular response to cancer-
initiating insults such as genotoxic stress. In this report, we demonstrate that microRNAs …

The globally distributed ectoparasite Varroa destructor is a vector for viral pathogens of the
Western honeybee (Apis mellifera), in particular the Iflavirus Deformed Wing Virus (DWV). In …

Motivation: Spotted arrays are often printed with probes in duplicate or triplicate, but current
methods for assessing differential expression are not able to make full use of the resulting …

To study the multistep process of cervical cancer development, we analyzed 128 frozen
cervical samples spanning normalcy, increasingly severe cervical intraepithelial neoplasia …

Mixture modeling provides an effective approach to the differential expression problem in
microarray data analysis. Methods based on fully parametric mixture models are available …