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Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in se

  • 資源大小:145 K
  • 上傳時(shí)間: 2016-04-28
  • 上傳用戶:ac3698
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  • 標(biāo)      簽: Petricoin co-workers and proteomic

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Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp

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