GSM492543[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 1000068012.

[GenomeWideSNP_6] Affymetrix Genome-Wide Human SNP 6.0 Array

(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 (ucsc=hg18; ncbi=NCBI36) August 01, 2012: annotation table updated with netaffx build 32 (ucsc=hg19; ncbi=GRCh37) Protocol: see manufacturer's web site The new Affymetrix® Genome-Wide Human SNP Array 6.0 features 1.8 million genetic markers, including more than 906,600 single nucleotide polymorphisms (SNPs) and more than 946,000 probes for the detection of copy number variation. more...