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Visualization-Aided Classification Ensembles Discriminate Lung Adenocarcinoma And Squamous Cell Carcinoma Samples Using Their Gene Expression Profiles, Ao Zhang, Chi Wang, Shiji Wang, Liang Li, Zhongmin Liu, Suyan Tian

Markey Cancer Center Faculty Publications

INTRODUCTION: The widespread application of microarray experiments to cancer research is astounding including lung cancer, one of the most common fatal human tumors. Among non-small cell lung carcinoma (NSCLC), there are two major histological types of NSCLC, adenocarcinoma (AC) and squamous cell carcinoma (SCC).

RESULTS: In this paper, we proposed to integrate a visualization method called Radial Coordinate Visualization (Radviz) with a suitable classifier, aiming at discriminating two NSCLC subtypes using patients' gene expression profiles. Our analyses on simulated data and a real microarray dataset show that combining with a classification method, Radviz may play a role in …