How to get the most from microarray data: advice from reverse genomics

@inproceedings{Gorlov2012HowTG,
  title={How to get the most from microarray data: advice from reverse genomics},
  author={Ivan P. Gorlov and Ji-Yeon Yang and Jinyoung Byun and Christopher J. Logothetis and Olga Y. Gorlova and K. Ammineswara Rao JNTU Kakinada Do and Christopher I. Amos},
  booktitle={BMC Genomics},
  year={2012}
}
Whole-genome profiling of gene expression is a powerful tool for identifying cancer-associated genes. Genes differentially expressed between normal and tumorous tissues are usually considered to be cancer associated. We recently demonstrated that the analysis of interindividual variation in gene expression can be useful for identifying cancer associated genes. The goal of this study was to identify the best microarray data–derived predictor of known cancer associated genes. We found that the… CONTINUE READING
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