Investigating the shared gene profiles and molecular mechanisms between chronic obstructive pulmonary disease and lung adenocarcinoma

Description

This contains the TCGA and GEO data processed by our institute, as well as the original code and some files needed to run the code

Steps to reproduce

In order to obtain suitable sequencing data, we screened the Gene Expression Omnibus (GEO) database for transcriptome sequencing datasets associated with chronic obstructive pulmonary disease (GSE) or lung adenocarcinoma (GSE). Complete information on both datasets can be downloaded from the GEO database. Patient clinical information and genome-wide transcript levels of TCGA-LUAD were obtained from the UCSC XENA database. In our study, we applied background correction and normalization for all raw data and matched all probe names to their corresponding gene symbols, which were then used in subsequent analyses.

Institutions

Categories

Licence