Source:
@ARTICLE{Ramaswamy2001,
author = {S. Ramaswamy
and P. Tamayo and R. Rifkin and S. Mukherjee and C. H. Yeang and M. Angelo and
C. Ladd and M. Reich and E. Latulippe and J. P. Mesirov and T. Poggio and W.
Gerald and M. Loda and E. S. Lander and T. R. Golub},
title = {Multiclass
cancer diagnosis using tumor gene expression signatures.},
journal = {Proc Natl
Acad Sci U S A},
year = {2001},
volume = {98},
pages =
{15149--15154},
number = {26},
month = {Dec}
doi =
{10.1073/pnas.211566398},
url = {http://dx.doi.org/10.1073/pnas.211566398}
}
Original data: http://www.broad.mit.edu/cgi-bin/cancer/publications/pub_paper.cgi?mode=view&paper_id=61
Description:
In order to determine
whether the diagnosis of multiple common adult malignancies could be achieved
purely by molecular classification, the authors subjected 218 tumor samples,
spanning 14 common tumor types, and 90 normal tissue samples to oligonucleotide
microarray gene expression analysis. For the construction of our data set, we discarded the normal
tissues. The 14 tumors are: breast adenocarcinoma (BR), prostate adenocarcinoma
(PR), lung adenocarcinoma (LU), colorectal adenocarcinoma (CR), lymphoma (LY),
bladder transitional cell carcinoma (BL), melanoma (ML), uterine adenocarcinoma
(UT), leukemia (LE), renal cell carcinoma (RE), pancreatic adenocarcinoma (PA),
ovarian adenocarcinoma (OV), pleural mesothelioma (ME), central nervous system
(CNS).
Parameters used in our filter: