Chemosensitivity prediction by transcriptional profiling.

  title={Chemosensitivity prediction by transcriptional profiling.},
  author={Jane E. Staunton and Donna K. Slonim and Hilary A. Coller and Pablo Tamayo and Mary Jane Angelo and Jin-Sung Park and Uwe Scherf and Jae K. Lee and William Reinhold and John N. Weinstein and Jill P. Mesirov and Eric S. Lander and Todd R. Golub},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  volume={98 19},
In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles alone. Using oligonucleotide microarrays, the expression levels of 6,817 genes were measured in a panel of 60 human cancer cell lines (the NCI-60) for which the chemosensitivity profiles of thousands of chemical compounds have been determined. We sought to determine whether the gene expression… CONTINUE READING
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Biostatistical Analysis (Prentice–Hall, Upper Saddle, NJ)

  • J. H. Zar
  • 1999

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