Mathematical framework and wavelets applications in proteomics for cancer study

Don Hong; Yu Shyr

doi:10.1142/9789812779489_0016

Mathematical framework and wavelets applications in proteomics for cancer study

Don Hong, Yu Shyr

Department of Statistics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

Cancer is a proteomic disease. Though MALDI-TOF mass spectrometry allows direct measurement of the protein signature of tissue, blood, or their biological samples, and holds tremendous potential for disease diagnosis and treatment, key challenges remain in the processing of proteomic data. In this chapter, we will introduce awavelet based mathematical framework and computational tools for proteomic data processing, feature selection, and statistical analysis in cancer study.

Original language	English
Title of host publication	Handbook Of Cancer Models With Applications
Publisher	World Scientific Publishing Co.
Pages	471-499
Number of pages	29
ISBN (Electronic)	9789812779489
DOIs	https://doi.org/10.1142/9789812779489_0016
Publication status	Published - 2008 Jan 1

All Science Journal Classification (ASJC) codes

General Medicine
General Biochemistry,Genetics and Molecular Biology

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10.1142/9789812779489_0016

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Mathematical framework and wavelets applications in proteomics for cancer study

Abstract

All Science Journal Classification (ASJC) codes

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