Principal component-based feature selection for tumor classification
نویسندگان
چکیده
منابع مشابه
Principal component-based feature selection for tumor classification.
One of the important problems in microarray gene expression data is tumor classification. This paper proposes a new feature selection method for tumor classification using gene expression data. In this method, three dimensionality reduction methods, including principal component analysis (PCA), factor analysis (FA) and independent component analysis (ICA), are first introduced to extract and se...
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ژورنال
عنوان ژورنال: Bio-Medical Materials and Engineering
سال: 2015
ISSN: 1878-3619,0959-2989
DOI: 10.3233/bme-151505