Old data, new interactions, improved predictions
In our recent publication in Bioinformatics, we analyzed an eleven years old gene expression data set by Van't Veer et al (2002) and identified gene clusters that have demonstrated interaction associated with relapse risk of breast cancer patients. These newly identified gene clusters allowed us to improve the CV accuracy of prognosis prediction from ~30% to 8%.