author = {Catherine L Nutt and D. R. Mani and Rebecca A Betensky and Pablo Tamayo and J. Gregory Cairncross and Christine Ladd and Ute Pohl and Christian Hartmann and Margaret E McLaughlin and Tracy T Batchelor and Peter M Black and Andreas von Deimling and Scott L Pomeroy and Todd R Golub and David N Louis},

title = {Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.},

journal = {Cancer Res},

year = {2003},

volume = {63},

pages = {1602--1607},

number = {7},

month = {Apr},



Original data:




The investigated whether gene expression profiling, coupled with class prediction  methodology, could be used to classify high-grade gliomas in a manner  more objective, explicit, and consistent than standard pathology.  Microarray analysis was used to determine the expression of approximately 12000 genes in a set of 50 gliomas: 28 glioblastomas (G) and 22 anaplastic oligodendrogliomas (O), which were classified as classic (C) or nonclassic (N).



Parameters used in our filter: