github link
Accession IconGSE19539

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

Organism Icon Homo sapiens
Sample Icon 68 Downloadable Samples
Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Submitter Supplied Information

Description
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.
PubMed ID
Total Samples
140
Submitter’s Institution
Alternate Accession IDs

Samples

Show of 0 Total Samples
Filter
Add/Remove
Accession Code
Title
Age
Disease stage
Processing Information
Additional Metadata
No rows found
Loading...