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Series GSE17967 Query DataSets for GSE17967
Status Public on Sep 11, 2009
Title RMA expression data for liver samples from subjects with HCV cirrhosis with and without concomitant HCC
Organism Homo sapiens
Experiment type Expression profiling by array
Summary In this study, we used the Affymetrix HG-U133A 2.0 GeneChip for deriving a multigenic classifier capable of predicting HCV+cirrhosis with vs without concomitant HCC.
We studied gene expression in cirrhotic tissues with (N=16) and without (N=47) HCC.

Keywords: cross-sectional
 
Overall design Liver tissue samples were obtained from patients waiting for liver transplantation. For each sample, RNA was extracted and hybridized to an Affymetrix GeneChip.
 
Contributor(s) Archer KJ, Mas VR, David K, Maluf DG, Bornstein K, Fisher RA
Citation(s) 19861515
Submission date Sep 04, 2009
Last update date Dec 06, 2018
Contact name Kellie J. Archer
E-mail(s) archer.43@osu.edu
Phone (614) 247-6167
Organization name Ohio State University
Department Division of Biostatistics
Street address 1841 Neil Ave
City Columbus
State/province OH
ZIP/Postal code 43210
Country USA
 
Platforms (1)
GPL571 [HG-U133A_2] Affymetrix Human Genome U133A 2.0 Array
Samples (63)
GSM449731 HCV+cirrhosis with HCC 1
GSM449732 HCV+cirrhosis with HCC 2
GSM449733 HCV+cirrhosis without HCC 1
Relations
BioProject PRJNA119939

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE17967_RAW.tar 202.6 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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