Gene expression phenotypic models that predict the activity of oncogenic pathways

  title={Gene expression phenotypic models that predict the activity of oncogenic pathways},
  author={Erich Huang and Seiichi Ishida and J Pittmann and Holly Dressman and Andrea Bild and Mark T. Kloos and M D'amico and Richard G. Pestell and Mike West and J. R. Nevins},
  journal={Nature Genetics},
High-density DNA microarrays measure expression of large numbers of genes in one assay. The ability to find underlying structure in complex gene expression data sets and rigorously test association of that structure with biological conditions is essential to developing multi-faceted views of the gene activity that defines cellular phenotype. We sought to connect features of gene expression data with biological hypotheses by integrating 'metagene' patterns from DNA microarray experiments in the… CONTINUE READING
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Publications referenced by this paper.
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Gene expression profiling predicts clinical outcome of breast cancer

  • van’T Veer, L.J
  • Nature 415,
  • 2002

p21 WAF1/CIP1 deficiency has opposite effects in tumors arising from MMTV-Ras and MMTV-Myc transgenic mice

  • D. J. Bearss, R. L. Lee, D. A. Troyer, R. G. Pestell, J. J. Windle
  • Cancer Res
  • 2002