Source:

@ARTICLE{Nutt2003,

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: http://www.broad.mit.edu/cgi-bin/cancer/publications/pub_paper.cgi?mode=view&paper_id=82

Description:

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).

• Nutt-V1: 14 CG, 7 CO, 14 NG and 15 NO.
• Nutt-V2: 14 CG and 14 NG.
• Nutt-V3 . 7 CO and 15 NO.

Parameters used in our filter:

• Nutt-V1: l=2 and c=4
• Nutt-V2: l=1.5 and c=7

• Nutt-V3 .l=1.5 and c=5