A data-analytic strategy for protein biomarker discovery: profiling of high-dimensional proteomic data for cancer detection.

@article{Yasui2003ADS,
  title={A data-analytic strategy for protein biomarker discovery: profiling of high-dimensional proteomic data for cancer detection.},
  author={Yutaka Yasui and Margaret Sullivan Pepe and Mary Lou Thompson and Bao-Ling Adam and George L. Wright and Yinsheng Qu and John D. Potter and Marcy Winget and Mark Thornquist and Ziding Feng},
  journal={Biostatistics},
  year={2003},
  volume={4 3},
  pages={449-63}
}
With recent advances in mass spectrometry techniques, it is now possible to investigate proteins over a wide range of molecular weights in small biological specimens. This advance has generated data-analytic challenges in proteomics, similar to those created by microarray technologies in genetics, namely, discovery of 'signature' protein profiles specific to each pathologic state (e.g. normal vs. cancer) or differential profiles between experimental conditions (e.g. treated by a drug of… CONTINUE READING
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