Proteins are the main targets of most drugs; however, system-wide methods to monitor
protein activity and function are still underused in drug discovery. Novel biochemical …

Advances in quantitative biomarker development have accelerated new forms of data-driven
insights for patients with cancer. However, most approaches are limited to a single mode of …

With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …

Gene expression involves transcription, translation and the turnover of mRNAs and proteins.
The degree to which protein abundances scale with mRNA levels and the implications in …

Lipids are crucial components of cellular function owing to their role in membrane formation,
intercellular signaling, energy storage, and homeostasis maintenance. In the brain, lipid …

Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …

Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

DNA methylation data have become a valuable source of information for biomarker
development, because, unlike static genetic risk estimates, DNA methylation varies …

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 …

It is challenging to associate features such as human health outcomes, diet, environmental
conditions, or other metadata to microbial community measurements, due in part to their …