Dataset Information
IRIBHM-Universite Libre de Bruxelles
Ontology highlight
ABSTRACT:
PROVIDER: EGAO00000000166 | EGA |
REPOSITORIES: EGA
Publications
Transfer of clinically relevant gene expression signatures in breast cancer: from Affymetrix microarray to Illumina RNA-Sequencing technology.
BMC genomics 20141121
<h4>Background</h4>Microarrays have revolutionized breast cancer (BC) research by enabling studies of gene expression on a transcriptome-wide scale. Recently, RNA-Sequencing (RNA-Seq) has emerged as an alternative for precise readouts of the transcriptome. To date, no study has compared the ability of the two technologies to quantify clinically relevant individual genes and microarray-derived gene expression signatures (GES) in a set of BC samples encompassing the known molecular BC's subtypes. ...[more]