Mainstream statistical methodology is generally applicable to data observed in Euclidean
space. There are, however, numerous contexts of considerable scientific interest in which …

Modern Directional Statistics collects important advances in methodology and theory for
directional statistics over the last two decades. It provides a detailed overview and analysis …

Determining dose-response relationship is essential for comprehensively revealing
chemical-caused effects on organisms. However, uncertainty and complexity of gene/protein …

Background Targeted therapies specifically act by blocking the activity of proteins that are
encoded by genes critical for tumorigenesis. However, most cancers acquire resistance and …

Data derived from microarray technologies are generally subject to various sources of noise
and accordingly the raw data are pre-processed before formally analysed. Data …

This paper is motivated by applications in oscillatory systems where researchers are
typically interested in discovering components of those systems that display rhythmic …

Pancreatic ductal adenocarcinoma (PAAD) is one of the most common malignant tumors in
digestive system. To find the new therapeutic targets and explore potential mechanisms …

The binarization of consensus partition matrices (Bi-CoPaM) method has, among its unique
features, the ability to perform ensemble clustering over the same set of genes from multiple …

CircSpaceTime is the only R package, currently available, that implements Bayesian models
for spatial and spatio-temporal interpolation of circular data. Such data are often found in …

Constraints arise naturally in many scientific experiments/studies such as in, epidemiology,
biology, toxicology, etc. and often researchers ignore such information when analyzing their …