Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohorts

• Main Authors: Yoonha Choi (Author), Jianghan Qu (Author), Shuyang Wu (Author), Yangyang Hao (Author), Jiarui Zhang (Author), Jianchang Ning (Author), Xinwu Yang (Author), Lori Lofaro (Author), Daniel G. Pankratz (Author), Joshua Babiarz (Author), P. Sean Walsh (Author), Ehab Billatos (Author), Marc E. Lenburg (Author), Giulia C. Kennedy (Author), Jon McAuliffe (Author), Jing Huang (Author)
• Format: Book
• Published: BMC, 2020-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Bronchoscopy for suspected lung cancer has low diagnostic sensitivity, rendering many inconclusive results. The Bronchial Genomic Classifier (BGC) was developed to help with patient management by identifying those with low risk of lung cancer when bronchoscopy is inconclusive. Th...