Organoids are simple tissue-engineered cell-based in vitro models that recapitulate many
aspects of the complex structure and function of the corresponding in vivo tissue. They can …

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 …

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 …

Multi-omics, variously called integrated omics, pan-omics, and trans-omics, aims to combine
two or more omics data sets to aid in data analysis, visualization and interpretation to …

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

Researchers are increasingly seeking to interpret molecular data within a multi-omics
context to gain a more comprehensive picture of their study system. OmicsNet (www …

The growing number of multi-omics studies demands clear conceptual workflows coupled
with easy-to-use software tools to facilitate data analysis and interpretation. This protocol …

Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …

Metabolomics is an emerging field that quantifies numerous metabolites systematically. The
key purpose of metabolomics is to identify the metabolites corresponding to each biological …

We have come a long way in the last years of developing analytical strategies in
metabolomics. We have seen huge progress in tackling multiplatform measurement, data …