comprehensive whole-exome sequencing (WES) of primary tumors and corresponding normal lung tissues from 19 IPF-LC patients and 10 non IPF-LC patients.
We assessed genomic profiles of 29 matched cancerous/non-cancerous lung tissues, compromised of 19 IPF-LC and 10 non IPF-LC, surgically resected by whole exome sequencing. Bioinformatics analysis on candidate gene alterations discriminating the IPF-LC and the non-IPF has been identified using machine learning methods such as Random-forest method and Cross test by collaborating with faculty of engineering.