SVM-RFE With MRMR Filter for Gene Selection
نویسندگان
چکیده
منابع مشابه
A Novel SVM-RFE for Gene Selection∗
Selecting a subset of informative genes frommicroarray expression data is a critical data preparation step in cancer classification and other biological function analysis. The support vector machine recursive feature elimination (SVM-RFE) is one of the most effective feature selection method which has been successfully used in selecting informative genes for cancer classification. While, the SV...
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MOTIVATION Given the thousands of genes and the small number of samples, gene selection has emerged as an important research problem in microarray data analysis. Support Vector Machine-Recursive Feature Elimination (SVM-RFE) is one of a group of recently described algorithms which represent the stat-of-the-art for gene selection. Just like SVM itself, SVM-RFE was originally designed to solve bi...
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Various form features affect consumer preference regarding product design. It is, therefore, important that designers identify these critical form features to aid them in developing appealing products. However, the problems inherent in choosing product form features have not yet been intensively investigated. In this paper, an approach based on multiclass support vector machine recursive featur...
متن کاملImproving MSVM-RFE for Multiclass Gene Selection∗
Along with the advent of DNA microarray technology, gene expression profiling has been widely used to study molecular signatures of many diseases and to develop molecular diagnostics for disease prediction. In class prediction problems using expression data, gene selection is essential to improve the prediction accuracy and to identify informative genes for a disease. In this paper we improve t...
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Gene selection is a key research issue in molecular cancer classification and identification of cancer biomarkers using microarray data. Support vector machine recursive feature elimination (SVM-RFE) is a well known algorithm for this purpose. In this study, a novel gene selection algorithm is proposed to enhance the SVM-RFE method. The proposed approach is designed to use the combination of SV...
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ژورنال
عنوان ژورنال: IEEE Transactions on NanoBioscience
سال: 2010
ISSN: 1536-1241
DOI: 10.1109/tnb.2009.2035284