In just a few years, microarrays have gone from obscurity to being almost ubiquitous in
biological research. At the same time, the statistical methodology for microarray analysis has …

Ending the COVID-19 pandemic will require long-lived immunity to SARS-CoV-2. Here, we
evaluate 254 COVID-19 patients longitudinally up to 8 months and find durable broad-based …

Recent technological advances in molecular biology have given rise to numerous large‐
scale datasets whose analysis imposes serious methodological challenges mainly relating …

Compositional changes of cell types are main drivers of biological processes. Their
detection through single-cell experiments is difficult due to the compositionality of the data …

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 live in a new age for statistical inference, where modern scientific technology such as
microarrays and fMRI machines routinely produce thousands and sometimes millions of …

Single-cell mRNA sequencing can uncover novel cell-to-cell heterogeneity in gene
expression levels in seemingly homogeneous populations of cells. However, these …

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 …

Current scientific techniques in genomics and image processing routinely produce
hypothesis testing problems with hundreds or thousands of cases to consider …

Advances in flow cytometry and other single-cell technologies have enabled high-
dimensional, high-throughput measurements of individual cells as well as the interrogation …