Ontology highlight
ABSTRACT: Purpose
Head and neck squamous cell carcinoma (HNSCC) is the sixth most prevalent cancer in the world, accounting for more than 90% of head and neck malignant tumors. However, its molecular mechanism is largely unknown. To help elucidate the potential mechanism of HNSCC tumorigenesis, we investigated the gene interaction patterns associated with tumorigenesis.Methods
Weighted gene co-expression network analysis (WGCNA) can help us to predict the intrinsic relationship or correlation between gene expression. Additionally, we further explored the combination of clinical information and module construction.Results
Sixteen modules were constructed, among which the key module most closely associated with clinical information was identified. By analyzing the genes in this
SUBMITTER: Song Y
PROVIDER: S-EPMC6689548 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature