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Dataset Information

Identification of biomarkers in common chronic lung diseases by co-expression networks and drug-target interactions analysis.


ABSTRACT:

Background

asthma, chronic obstructive pulmonary disease (COPD), and idiopathic pulmonary fibrosis (IPF) are three serious pulmonary diseases that contain common and unique characteristics. Therefore, the identification of biomarkers that differentiate these diseases is of importance for preventing misdiagnosis. In this regard, the present study aimed to identify the disorders at the early stages, based on lung transcriptomics data and drug-target interactions.

Methods

To this end, the differentially expressed genes were found in each disease. Then, WGCNA was utilized to find specific and consensus gene modules among the three diseases. Finally, the disease-disease similarity was analyzed, followed by determining candidate drug-target interactions.

Results

The results

SUBMITTER: Maghsoudloo M 

PROVIDER: S-EPMC6969427 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature