Data aggregation at the level of molecular pathways improves stability of experimental transcriptomic and proteomic data
Nicolas Borisov, Maria Suntsova, Andrew Garazha, Ksenia Lezhnina, Olga Kovalchuk, Alexander Aliper, Elena Ilnitskaya, Maxim Sorokin, Mihkail Korzinkin, Vyacheslav Saenko, Yury Saenko, Dmitry G. Sokov, Nurshat M. Gaifullin, Kirill Kashintsev, Valery Shirokorad, , Anton Buzdin
This study shows that aggregating gene expression data at the molecular pathway level reduces cross- and intra-platform bias, with OncoFinder performing best in tests.
bioRxiv · Sep 21, 2016Bioinformatics