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Chapter and Conference Paper
Find Key m/z Values in Predication of Mass Spectrometry Cancer Data
To find the significant biomarker is very important in detecting protein patterns associated with diseases. In this study multilevel wavelet analysis is performed on high dimensional mass spectrometry data to ...
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Chapter and Conference Paper
Dimensionality Reduction for Mass Spectrometry Data
In this paper multilevel wavelet analysis is performed for high dimensional mass spectrometry data. A set of wavelet approximation coefficients at different scale is used to characterize the features of mass s...
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Chapter and Conference Paper
Feature Extraction for Mass Spectrometry Data
Mass spectrometry is being used to generate protein profiles from human serum, and proteomic data obtained from mass spectrometry have attracted great interest for the detection of early-stage cancer. However,...
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Chapter and Conference Paper
Cancer Classification Based on Mass Spectrometry
In this paper wavelet analysis and Genetic Algorithm (GA) are performed to extract features and reduce dimensionality of mass spectrometry data. A set of wavelet features, which include detail coefficients and...
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Chapter and Conference Paper
Cancer Identification Based on DNA Microarray Data
In this study we perform wavelet transform on the analysis of DNA microarray data. A set of wavelet features is used to measure the change of gene expression profile. Then wavelet features are input to support...
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Chapter and Conference Paper
Automatic Segmentation of Putamen from Brain MRI
In this paper we present an automatic segmentation of the Putamen shape from brain MRI based on wavelets and a neural network. Firstly we detect the Putamen region slice by slice using 1D wavelet feature extra...
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Chapter and Conference Paper
A Novel Face Recognition Method
This paper introduces a new face recognition method that treats 2D face images as 1D signals to take full advantages of wavelet multi-resolution analysis. Though there have been many applications of wavelet mu...
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Chapter and Conference Paper
When Eigenfaces are Combined with Wavelets
The paper presents a novel and interesting combination of wavelet techniques and eigenfaces to extract features for face recognition. Eigenfaces reduce the dimensions of face vectors whilst wavelets reveal inf...