Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra

Author:

Gopalakrishnan Vanathi,Ganchev Philip,Ranganathan Srikanth,Bowser Robert

Publisher

Springer Berlin Heidelberg

Reference21 articles.

1. Srinivas, P.R., Verma, M., Zhao, Y., Srivastava, S.: Proteomics for cancer biomarker discovery. Clin. Chem. 48(8), 1160–1169 (2002)

2. Tyers, M., Mann, M.: From genomics to proteomics. Nature 422(6928), 193–197 (2003)

3. Cazares, L.H., Adam, B.L., Ward, M.D., Nasim, S., Schellhammer, P.F., Semmes, O.J., Wright Jr., G.L.: Normal, benign, preneoplastic, and malignant prostate cells have distinct protein expression profiles resolved by surface enhanced laser desorption/ionization mass spectrometry. Clin. Cancer. Res. 8(8), 2541–2552 (2002)

4. Wright, G.L., Cazares, L.H., Leung, S.M., Nasim, S., Adam, B.L., Yip, T.T., Schellhammer, P.F., Gong, L., Vlahou, A.: Proteinchip(R) surface enhanced laser desorption/ionization (SELDI) mass spectrometry: a novel protein biochip technology for detection of prostate cancer biomarkers in complex protein mixtures. Prostate Cancer Prostatic Dis. 2(5/6), 264–276 (1999)

5. Adam, B.L., Qu, Y., Davis, J.W., Ward, M.D., Clements, M.A., Cazares, L.H., Semmes, O.J., Schellhammer, P.F., Yasui, Y., Feng, Z., Wright Jr., G.L.: Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men. Cancer Res. 62(13), 3609–3614 (2002)

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