WAVELETS AND PROJECTING SPECTRUM BINNING FOR PROTEOMIC DATA PROCESSING - Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques - page 178

desorption/ionization time-of-ight mass spectrometry, Kidney Interna-
tional, 65 (2004), 323-332.
27. A.S. Schwartz, et al., Proteomic-Based Prognosis of Brain Tumor Patients
Using Direct-Tissue Matrix-Assisted Laser Desorption Ionization Mass Spec-
trometry, Cancer Research, 65 (2005), 7674-7681.
28. P.R. Srinivas, et al., Proteomics for cancer biomarker discovery, Clinical
Chemistry, 48 (2002), 1160-1169.
29. M. Vestal and P. Juhasz, Resolution and mass accuracy in matrix-assisted
laser desorption ionization time-of-ight, J. Am. Soc. Mass. Spectrom.,

9

(1998), 892-911.
30. Z.R. Yang and K.-C. Chou, Bio-support vector machines for computational
proteomics, Bioinformatics, 20 (2004), 735-41.
31. W. Yu, B. Wu, T. Huang, X. Li, K. Williams, and H. Zhao, Statistical meth-
ods in proteomics, In: Handbook of Engineering Statistics, Springer, pp. 623-
638, 2005.
32. W. Yu, B. Wu, N. Lin, K. Stone, K. Williams, and H. Zhao, Detecting and
aligning peaks in mass spectrometry data with applications to MALDI, Com-
putational Biology and Chemistry, 30 (2006), 27-38.