github link
Accession IconGSE29023

Predict cytogenetic abnormalities with gene expression profiles

Organism Icon Homo sapiens
Sample Icon 115 Downloadable Samples
Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Submitter Supplied Information

Description
Cytogenetic abnormalities (CA) are important clinical parameters in various types of cancer, including multiple myeloma (MM). We developed a model to predict CA in patients with MM using gene expression profiling (GEP) and validated it by different cytogenetic techniques. The model was shown to have an accuracy up to 0.89. These results provide proof of concept for the hypothesis that GEP could serve as a one-stop data source for clinical molecular diagnosis and/or prognosis.
PubMed ID
Total Samples
230
Submitter’s Institution

Samples

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