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Full-Text Articles in Medicine and Health Sciences
The Promise Of Novel Molecular Markers In Bladder Cancer, Jahan Miremami, Natasha Kyprianou
The Promise Of Novel Molecular Markers In Bladder Cancer, Jahan Miremami, Natasha Kyprianou
Urology Faculty Publications
Bladder cancer is the fourth most common malignancy in the US and is associated with the highest cost per patient. A high likelihood of recurrence, mandating stringent surveillance protocols, has made the development of urinary markers a focus of intense pursuit with the hope of decreasing the burden this disease places on patients and the healthcare system. To date, routine use of markers is not recommended for screening or diagnosis. Interests include the development of a single urinary marker that can be used in place of or as an adjunct to current screening and surveillance techniques, as well identifying a …
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
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 …