Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …

Biomedical research now commonly integrates diverse data types or views from the same
individuals to better understand the pathobiology of complex diseases, but the challenge …

Single-cell transcriptional and epigenomics profiles have been applied in a variety of tissues
and diseases for discovering new cell types, differentiation trajectories, and gene regulatory …

Discovering patterns in time-course genomic data can provide insights on the dynamics of
biological systems in health and disease. Here, we present a Platform for Analysis of Time …

Biological systems are dynamic in nature, where time‐lagged correlations are commonly
observed. Motivated by the problem of integrating longitudinal high‐dimensional datasets …

High-dimensional structured data are emerging and accumulating in biomedical research
fields. Examples include epigenomics and neuroimaging studies. In these studies, it is often …