GSM487257[Accession] - GEO DataSets

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Items: 3

Select item 2000195391.

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

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Accession:: GSE19539

ID:: 200019539

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 1000062442.

[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