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- W2386374208 abstract "With the development of gene microarray,how to analyze the tumor gene expression profiles to recognize the types of tumor has become the focus of bioinformation.A new algorithm based on LoG matrix factorization was proposed to extract the feature of gene expression profiles.Firstly,the samples were mapped into the high-dimension space,and then the LoG matrix which contains the information of all samples was constructed.In this way,the gene expression profiles with unstructured information could be transformed into the structured graph.Then the LoG matrix was factorized by NMF and got the eigenvectors which could represent the feature of samples.Finally,classification experiments were implemented by KNN.The feasibility and effectiveness of this algorithm were verified through the tests on leukemia data and colon data." @default.
- W2386374208 created "2016-06-24" @default.
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- W2386374208 date "2013-01-01" @default.
- W2386374208 modified "2023-09-24" @default.
- W2386374208 title "Tumor feature extraction based on LoG matrix factorization" @default.
- W2386374208 hasPublicationYear "2013" @default.
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