Gene Co-Expression Analysis For Lung Cancer Biomarkers Detection

Cancer is one of the most widespread diseases that we come across. The complexity of this disease makes it difficult to analyze and detect biomarkers with the purpose to ease the targeted treatments. This study presents a methodology based on gene expression data that provides promising results in terms of revealing potential biomarkers associated with lung cancer. To accomplish this, gene networks are built presenting the correlation among the genes. These networks are further analyzed and thus specific modules are created. Hereupon special representative genes for each of the modules are detected that lead to the identification of potential biomarkers for lung cancer. The reliability of the revealed biomarkers has been proved in the literature.