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Items: 3

1.

Identification of Novel Oncogene Loci in Ovarian Cancer through Integrated Copy Number and Expression Analysis

(Submitter supplied) Use of expression data to analyse ovarian cancer often yields long lists of genes that do not agree across various studies. Copy number however is more stable and can reliable predict important regions of change. Using matched copy number and expressiion data helps accurately identify novel drivers of ovarian cancer.
Organism:
Homo sapiens
Type:
Expression profiling by array; Genome variation profiling by SNP array
Platforms:
GPL6801 GPL6244
140 Samples
Download data: CEL, CSV
Series
Accession:
GSE19539
ID:
200019539
2.

[HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [transcript (gene) version]

(Submitter supplied) Affymetrix submissions are typically submitted to GEO using the GEOarchive method described at http://www.ncbi.nlm.nih.gov/projects/geo/info/geo_affy.html June 03, 2009: annotation table updated with netaffx build 28 June 18, 2012: annotation table updated with netaffx build 32 July 01, 2016: annotation table updated with netaffx build 35 Protocol: See manufacturer's web site
Organism:
Homo sapiens
136 DataSets
1875 Series
27 Related Platforms
38343 Samples
Download data
Platform
Accession:
GPL6244
ID:
100006244
3.

Integrative genomics of ovarian cancer IC220 [HuGene-1_0-st]

Organism:
Homo sapiens
Source name:
Ovarian tumours at the time of diagnosis
Platform:
GPL6244
Series:
GSE19539
Download data: CEL
Sample
Accession:
GSM487261
ID:
300487261
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