Journal of Clinical Trials
Open Access
ISSN: 2167-0870
ISSN: 2167-0870
Department of Statistics, University of Wisconsin, Madison, Wisconsin, USA
Research Article
Functional Effects of Four or Fewer Critical Genes Linked To Lung Cancers and New Subtypes Detected by a New Machine Learning Classifier
Author(s): Zhengjun Zhang*
Finding genes biologically directly or indirectly related to lung cancer has been drawing much attention, and many genes directly related to lung cancer have been reported. However, it has not been confirmed whether those published 'key' genes are truly critical to lung cancer formation, i.e., they may be with very limited useful information. As a result, finding essential genes remains a challenging lung cancer research problem. Using a recently developed competing linear factor analysis method in differentially expressed gene detection, we advance the study of lung cancer critical genes detection to a uniformly informative level. A set of common four genes and their functional effects are detected to be differentially expressed in tumor and non- tumor samples with 100% sensitivity and 100% specificity in one study of lung adenocarcinoma (LUAD) and one study of squamous cell .. View More»