title: Disentangling the myeloma web.
abstract: Gene expression profiling in patients with multiple myeloma has identified gene signatures linked to prognosis. However, because of their heterogeneity, there is currently no consensus about which signatures represent the best predictive and prognostic markers. Novel computational tools are now helping investigators integrate heterogeneous data sets to identify universal and robust classifiers.
authors: Functional Genomics of Cancer Unit, Division of Molecular Oncology, San Raffaele Scientific Institute, Milan, Italy. tonon.giovanni@hsr.it
authors: Giovanni
authors: G
authors: Tonon
authors: Kenneth C
authors: KC
authors: Anderson
mesh_terms: D053263:Gene Regulatory Networks; D006801:Humans; D009101:Multiple Myeloma / Q000235:genetics*