Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …

The innovation of biotechnologies has allowed the accumulation of omics data at an
alarming rate, thus introducing the era of 'big data'. Extracting inherent valuable knowledge …

Determining protein levels in each tissue and how they compare with RNA levels is
important for understanding human biology and disease as well as regulatory processes …

Multi-omics approaches have become a reality in both large genomics projects and small
laboratories. However, the multi-omics research community still faces a number of issues …

The role of brain cholesterol metabolism in Alzheimer's disease (AD) remains unclear.
Peripheral and brain cholesterol levels are largely independent due to the impermeability of …

Recent advancements in omics technologies have generated a wealth of biological data.
Integrating these data within mathematical models is essential to fully leverage their …

As researchers are increasingly able to collect data on a large scale from multiple clinical
and omics modalities, multi-omics integration is becoming a critical component of …

Data are the most important elements of bioinformatics: Computational analysis of
bioinformatics data, in fact, can help researchers infer new knowledge about biology …

The phenomenon of reduced athletic performance following sustained, intense training
(Overtraining Syndrome, and OTS) was first recognized more than 90 years ago. Although …

Deep learning (DL), an emerging area of investigation in the fields of machine learning and
artificial intelligence, has markedly advanced over the past years. DL techniques are being …