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Series GSE66957 Query DataSets for GSE66957
Status Public on Jun 22, 2015
Title Pathways of ovarian cancer development
Organism Homo sapiens
Experiment type Expression profiling by array
Summary In order to evaluate pathways that drive the development of ovarian cancer, we compared Affymetrix expression profiles from normal ovarian surface epithelium to those from primary ovarian carcinomas.
 
Overall design mRNA expression profiles for 57 ovarian carcinomas and 12 ovarian normal samples.
 
Contributor(s) Marchion DC
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Mar 16, 2015
Last update date May 07, 2018
Contact name Chia-Ho Cheng
E-mail(s) chia-ho.cheng@moffitt.org
Phone 8137452040
Organization name Moffitt Cancer Center
Department Biostatistics and Bioinformatics
Lab Cancer Informatics Core
Street address 12902 USF Magnolia Dr.
City Tampa
State/province FL
ZIP/Postal code 33647
Country USA
 
Platforms (1)
GPL15048 Rosetta/Merck Human RSTA Custom Affymetrix 2.0 microarray [HuRSTA_2a520709.CDF]
Samples (69)
GSM1634925 Normal-ovarian sample1
GSM1634926 Normal-ovarian sample2
GSM1634927 Normal-ovarian sample3
Relations
BioProject PRJNA278466

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
GSE66957_RAW.tar 360.4 Mb (http)(custom) TAR (of CEL)
Raw data provided as supplementary file
Processed data included within Sample table

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