Transfer of clinically relevant gene expression signatures in breast cancer: from Affymetrix microarray to Illumina RNA-Sequencing technology

@inproceedings{Fumagalli2014TransferOC,
  title={Transfer of clinically relevant gene expression signatures in breast cancer: from Affymetrix microarray to Illumina RNA-Sequencing technology},
  author={Debora Fumagalli and Alexis Blanchet-Cohen and David Brown and Christine Desmedt and David Gacquer and Stefan Michiels and Françoise Roth{\'e} and Samira Majjaj and Roberto Salgado and Denis P Larsimont and Michail G Ignatiadis and Marion Maetens and Martine J. Piccart and Vincent Detours and Christos Sotiriou and Benjamin Haibe-Kains},
  booktitle={BMC Genomics},
  year={2014}
}
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. To accomplish this… CONTINUE READING
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