Complex microbial communities shape the dynamics of various environments, ranging from
the mammalian gastrointestinal tract to the soil. Advances in DNA sequencing technologies …

Multi-omic studies of the human gut microbiome are crucial for understanding its role in
disease across multiple functional layers. Nevertheless, integrating and analyzing such …

Large biological data, which are often noisy and high-dimensional, have become
increasingly prevalent in biology and medicine. There is a real need for good training in …

Background Alternative N-glycosylation has significant structural and functional
consequences on immunoglobulin G (IgG) and can affect immune responses, acting as a …

A linear selection index (LSI) can be a linear combination of phenotypic values, marker
scores, and genomic estimated breeding values (GEBVs); phenotypic values and marker …

Analyzing multi-source data, which are multiple views of data on the same subjects, has
become increasingly common in molecular biomedical research. Recent methods have …

The heterogeneity of the older population suggests the existence of subsets of individuals
which share certain brain molecular features and respond differently to risk factors for …

Introduction The absence of a diagnostic test for acute rheumatic fever (ARF) is a major
impediment in managing this serious childhood condition. ARF is an autoimmune condition …

This paper considers canonical correlation analysis for two longitudinal variables that are
possibly sampled at different time resolutions with irregular grids. We modelled trajectories …

The integration of multiple omics datasets measured on the same samples is a challenging
task: data come from heterogeneous sources and vary in signal quality. In addition, some …