Underscoring Markers that Distinguish Ovarian, Breast, Prostate and Lung Cancer using Microarrays

摘要

1. Error modeling enables removal of false positives with low expression levels. 2. Our non-parametric algorithm (is not dependent on normally distributed data or fold-change calculations) highlight genes that are consistently differentially regulated in cancer cells compared to their corresponding normal tissue. 3. We were able to highlight differences in the different types of cancer.