Detect Key Gene Information in Classification of Microarray Data
نویسندگان
چکیده
منابع مشابه
Detect Key Gene Information in Classification of Microarray Data
We detect key information of high-dimensional microarray profiles based on wavelet analysis and genetic algorithm. Firstly, wavelet transform is employed to extract approximation coefficients at 2nd level, which remove noise and reduce dimensionality. Genetic algorithm (GA) is performed to select the optimized features. Experiments are performed on four datasets, and experimental results prove ...
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15 صفحه اولFeature Selection and Classification of Microarray Gene Expression Data of Ovarian Carcinoma Patients using Weighted Voting Support Vector Machine
We can reach by DNA microarray gene expression to such wealth of information with thousands of variables (genes). Analysis of this information can show genetic reasons of disease and tumor differences. In this study we try to reduce high-dimensional data by statistical method to select valuable genes with high impact as biomarkers and then classify ovarian tumor based on gene expression data of...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2008
ISSN: 1687-6180
DOI: 10.1155/2008/612397