Ovarian Cancer (NCI PBSII Data)


Emanuel F Petricoin III, et al. "Use of Proteomic Patterns in Serum to Identify Ovarian Cancer". The Lancet, 359:572-577, February, 2002

Raw Data:



The goal of this experiment is to identify proteomic patterns in serum that distinguish ovarian cancer from non-cancer. This study is significant to women who have a high risk of ovarian cancer due to family or personal history of cancer. The proteomic spectra were generated by mass spectroscopy and the data set provided here is 6-19-02, which includes 91 controls (Normal) and 162 ovarian cancers. The raw spectral data of each sample contains the relative amplitude of the intensity at each molecular mass / charge (M/Z) identity. There are total 15154 M/Z identities. The intensity values were normalized according to the formula: NV = (V-Min)/(Max-Min), where NV is the normalized value, V the raw value, Min the minimum intensity and Max the maximum intensity. The normalization is done over all the 253 samples for all 15154 M/Z identities. After the normalization, each intensity value is to fall within the range of 0 to 1.


Our transformed .data and .names format files are available here.

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