Abstract Background: The incidence of Oral Cancer (OC) is high in Asian countries, which
goes undetected at its early stage. The study of genetics, especially genetic networks holds …

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 …

Background The dreadful prognosis of nonmuscle invasive bladder cancer mainly results
from the delay in recognition of individuals with a high risk of progression. Thus, the …

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 …

The method of evaluating the physical traits of living creatures by generating essential
proteins is known as gene expression. Translation and transcription are the two processes …

The molecular mechanism of oral submucous fibrosis (OSF) is yet to be fully elucidated. The
identification of reliable signature genes to screen patients with a high risk of OSF and to …

Background Constructing molecular interaction networks from microarray data and then
identifying disease module biomarkers can provide insight into the underlying pathogenic …

Machine learning is a part of artificial intelligence and its optimization techniques are allows
system to learn from past example and identify pattern from large dataset. This criteria are …

The local disruptions caused by the genes of one disease can influence the pathways
associated with the other diseases resulting in comorbidity. For gene therapies, it is …

An extensive empirical study is presented in this work to identify potential biomarkers of
ESCC by employing fifteen prominent biclustering algorithms on synthetic and real datasets …