A jackknife-like method for classification and uncertainty assessment of multi-category tumor samples using gene expression information

摘要

BackgroundThe use of gene expression profiling for the classification of human cancer tumors has been widely investigated. Previous studies were successful in distinguishing several tumor types in binary problems. As there are over a hundred types of cancers, and potentially even more subtypes, it is essential to develop multi-category methodologies for molecular classification for any meaningful practical application.