Network pharmacology is an emerging area of systematic drug research that attempts to
understand drug actions and interactions with multiple targets. Network pharmacology has …

In recent years, the role of bioinformatics and computational biology together with omics
techniques and transcriptomics has gained tremendous importance in biomedicine and …

Background The recent emergence of COVID-19, rapid worldwide spread, and incomplete
knowledge of molecular mechanisms underlying SARS-CoV-2 infection have limited …

Neural networks such as variational autoencoders (VAE) perform dimensionality reduction
for the visualization and analysis of genomic data, but are limited in their interpretability: it is …

Drought stress limits woody species productivity and influences tree distribution. However,
dissecting the molecular mechanisms that underpin drought responses in forest trees can be …

Abstract The reconstruction of Gene Regulatory Networks (GRNs) from gene expression
data, supported by machine learning approaches, has received increasing attention in …

Examination of early phases of synucleinopathy when inclusions are present, but long
before neurodegeneration occurs, is critical to both understanding disease progression and …

Purpose Colorectal cancer (CRC) is a main cause of morbidity and mortality in the world.
Chemoradioresistance is a major problem in CRC treatment. Identification of novel …

Up to 40% of luminal breast cancer patients carry activating mutations in the PIK3CA gene.
PIK3CA mutations commonly co-occur with other mutations, but the implication of this co …

The hepatitis E virus (HEV) is a long-ignored virus that has spread globally with time. It
ranked 6 th among the top risk-ranking viruses with high zoonotic spillover potential; thus …