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).

 

 

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