Decoding health and disease phenotypes is one of the fundamental objectives in
biomedicine. Whereas high-throughput omics approaches are available, it is evident that …

Background: There are several antibiotic resistance genes (ARG) for the Escherichia coli (E.
coli) bacteria that cause urinary tract infections (UTI), and it is therefore important to identify …

Gene expression data provide the expression levels of tens of thousands of genes from
several hundred samples. These data are analyzed to detect biomarkers that can be of …

Selection of important genes responsible for a disease is an important task in bioinformatics.
Microarray data are often used with differential expression being considered as a cue …

A challenge in bioinformatics is to analyse volumes of gene expression data generated
through microarray experiments and obtain useful information. Consequently, most …

Drugs exhibit their therapeutic effects by interacting and modulating one or multiple protein
targets simultaneously; hence deeper insights of complex drug-disease-targets associations …

Gene expression data is analyzed to identify biomarkers, eg relevant genes, which serve for
diagnostic, predictive, or prognostic use. Traditional approaches for biomarker detection …

Doenças complexas são caracterizadas por serem poligênicas e multifatoriais, o que
representa um desafio em relação à busca de genes relacionados a elas. Com o advento …

Selection of genes associated to complex diseases has been a challenging task in the field
of bioinformatics. Through various studies it has been concluded that selection of highly …