Ontology highlight
ABSTRACT: Background
With the advent of large-scale molecular profiling, an increasing number of oncogenic drivers contributing to precise medicine and reshaping classification of lung adenocarcinoma (LUAD) have been identified. However, only a minority of patients archived improved outcome under current standard therapies because of the dynamic mutational spectrum, which required expanding susceptible gene libraries. Accumulating evidence has witnessed that understanding gene regulatory networks as well as their changing processes was helpful in identifying core genes which acted as master regulators during carcinogenesis. The present study aimed at identifying key genes with differential correlations between normal and tumor status.Methods
Weighted gene co-expression network analys
SUBMITTER: Zhou Y
PROVIDER: S-EPMC8131847 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature