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Series GSE9891 Query DataSets for GSE9891
Status Public on Mar 01, 2008
Title Expression profile of 285 ovarian tumour samples
Organism Homo sapiens
Experiment type Expression profiling by array
Summary We used microarrays to profile the expression levels of 285 ovarian samples in order to identify molecular subtypes of the tumour
Keywords: disease state analysis
Overall design Randomly selected samples from the AOCS ( Australian Ovarian Cancer Study) was expression profiled on the affymetrix U133_plus2 platform to identify novel subtypes of ovarian tumour
Web link
Contributor(s) Tothill R, Tinker A, George J, Brown R, Fox S, Johnson D, Trivett M, Etemadmogadham D, Locandro B, Traficante N, Fereday S, Hung J, Chiew Y, Haviv I, Gertig D, deFazio A, Bowtell D
Citation(s) 18698038
Submission date Dec 14, 2007
Last update date Jan 08, 2019
Contact name Prof David Bowtell PhD.
Phone +613 96561287
Fax +613 96561414
Organization name PeterMacCallum Cancer Centre
Department Research Division
Street address Locked Bag 1 A' Beckett St
City Melbourne
State/province VIC
ZIP/Postal code 8006
Country Australia
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (285)
GSM249714 X60120
GSM249715 X32117
GSM249716 X23066
This SubSeries is part of SuperSeries:
GSE9899 Expression profile of ovarian tumour samples
BioProject PRJNA105139

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
GSE9891_RAW.tar 1.3 Gb (http)(custom) TAR (of CEL)
GSE9891_clinical_anns.csv 11.5 Kb (ftp)(http) CSV
Raw data provided as supplementary file
Processed data included within Sample table

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