Signature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene express

Background: The identification of specific gene expression signature for distinguishing sample groups is a dominant field in cancer research. Although a number of tools have been developed to identify optimal gene expression signatures, the number of signature genes obtained is often overly large to be applied clinically. Furthermore, experimental verification is sometimes limited by the availability of wet-lab materials such as antibodies and reagents. A tool to evaluate the discrimination power of candidate genes is therefore in high demand by clinical researchers. Results: Signature Evaluation Tool (SET) is a Java-based tool adopting the Golub's weighted voting algorithm as well as incorporating the visual presentation of prediction strength for each array sample. SET provides a flexible and easy-to-follow platform to evaluate the discrimination power of a gene signature. Here, we demonstrated the application of SET for several purposes: (1) for signatures consisting of a larg...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Chih-Hung Jen, Tsun-Po Yang, Chien-Yi Tung, Shu-Han Su, Chi-Hung Lin, Ming-Ta Hsu, Hsei-Wei Wang
• Keywords: BMCBI 2008, Discrimination Power, Signature, Tools