Background Gene expression has been used to identify disease gene biomarkers, but there
are ongoing challenges. Single gene or gene-set biomarkers are inadequate to provide …

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

Gene Networks (GN), have emerged as an useful tool in recent years for the analysis of
different diseases in the field of biomedicine. In particular, GNs have been widely applied for …

Lung cancer is the primary reason for death due to cancer worldwide, and non‐small‐cell
lung cancer (NSCLC) is the most common subtype of lung cancer. Most patients die from …

Background Lung cancer is the leading cause of cancer deaths worldwide. Many studies
have investigated the carcinogenic process and identified the biomarkers for signature …

Lung cancer is one of the most common malignant diseases and a major threat to public
health on a global scale. Non-small-cell lung cancer (NSCLC) has a higher degree of …

Introduction: Precision medicine requires the accurate identification of genes and pathways
that mechanistically define a disease phenotype. Modern omics may deliver this, but has …

Lung adenocarcinoma is the most frequently diagnosed subtype of nonsmall cell lung
cancer. The molecular mechanisms of the initiation and progression of lung …

Identification of cancer biomarker using gene expression data is a challenging task. Many
strategies have been proposed to identify signature genes for distinguishing cancer from …

Current research has identified several potential biomarkers for lung cancer diagnosis or
prognosis. However, most of these biomarkers are derived from a relatively small number of …