Objective: Identifying lung cancer disease-related functional modules is important to
understand the mechanism of lung cancer. Methods: In this paper, we propose an …

Gene expression profiles have drawn broad attention in deciphering the pathogenesis of
human cancers. Cancer-related gene modules could be identified in co-expression …

In order to explore the molecular mechanism of lung cancer, differential expression analysis
of non-small cell lung carcinoma (NSCLC) gene expression data was performed and then …

Lung adenocarcinomas injured greatly on the people worldwide. Although clinic
experiments and gene profiling analyses had been well performed, to our knowledge …

We performed a series of bioinformatics analysis on a set of important gene expression data
with 76 samples in early stage of non-small cell lung cancer, including 40 adenocarcinoma …

ABSTRACT@# To indentify the candidate genes and signaling pathways in lung
adenocarcinoma by analyzing gene profiles with bioinformatics. Methods: The expression …

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 …

Our goal of this study was to reconstruct a “genome-scale co-expression network” and find
important modules in lung adenocarcinoma so that we could identify the genes involved in …

The objective was to explore the function of gene differential expressions between lung
cancer tissues and the interaction between the relevant encoded proteins, thereby analyzing …

Lung cancer, a tumor with heterogeneous biology, is influenced by a complex network of
gene interactions. Therefore, elucidating the relationships between genes and lung cancer …