To study complex biological processes holistically, it is imperative to take an integrative
approach that combines multi-omics data to highlight the interrelationships of the involved …

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

Antitumoral immunity requires organized, spatially nuanced interactions between
components of the immune tumor microenvironment (iTME). Understanding this coordinated …

While gut microbiome and host gene regulation independently contribute to gastrointestinal
disorders, it is unclear how the two may interact to influence host pathophysiology. Here we …

Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied
to experiments representing a single condition, technology, or species to discover and …

Recent high throughput experimental methods have been used to collect large biomedical
omics datasets. Clustering of single omic datasets has proven invaluable for biological and …

Multi-omics data integration is one of the major challenges in the era of precision medicine.
Considerable work has been done with the advent of high-throughput studies, which have …

Collecting comprehensive data sets of the same subject has become a standard in
neuroscience research and uncovering multivariate relationships among collected data sets …

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

State-of-the-art next-generation sequencing, transcriptomics, proteomics and other high-
throughput 'omics' technologies enable the efficient generation of large experimental data …