Evaluation of Dependency DifferentialitY (EDDY) provides an alternative approach to differential expression-based analyses of data generated under multiple conditions. It was developed by CTD2 researchers at the Translational Genomics Research Institute.
The investigators tested the new method using glioblastoma gene expression data from The Cancer Genome Atlas. When compared to other statistical methods, EDDY showed better performance at identifying previously known and novel gene sets with distinct genetic relationships between the four glioblastoma subtypes. The results are published in Nucleic Acids Research.