WAVELETS AND PROJECTING SPECTRUM BINNING FOR PROTEOMIC DATA PROCESSING - Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques - page 176

then in such a model, the most challenge part will be the selection of the
\bump" functions k and to determine the the parameters k and k .
Though some basic ideas and tools are mentioned in [15], many challenges
remain in the area of research along this direction.
Acknowledgments
The authors would like to thank Jonathan Xu at the Mass Spectrome-
try Research Center and Cancer Biology, Vanderbilt University for eval-
uating the performance of PSB and providing many useful suggestions.
This research was supported in part by Lung Cancer SPORE (Special Pro-
gram of Research Excellence) (P50 CA90949), Breast Cancer SPORE (1P50
CA98131-01), GI (5P50 CA95103-02), and Cancer Center Support Grant
(CCSG) (P30 CA68485) for Y. Shyr, by GI SPORE (5P50CA95103-05) for
M. Li, and by NSF IGMS (#0408086 and #0552377) and by MTSU REP
for D. Hong.
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