Title :
Tissue classification algorithm based on NPE and LS-SVM
Author :
Sun, Xia ; Wang, Zi-qiang
Author_Institution :
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
Tissue classification with gene expression data is of great importance in medical diagnosis of diseases. To efficiently cope with this problem, a novel tissue classification algorithm based on neighborhood preserving embedding (NPE) and least square SVM (LS-SVM) is proposed in this paper. The experimental results on four well-known gene expression data sets demonstrate the effectiveness of the proposed algorithm.
Keywords :
biological tissues; diseases; least squares approximations; medical signal processing; signal classification; support vector machines; LS-SVM; NPE; disease; gene expression data; least square SVM; medical diagnosis; neighborhood preserving embedding method; support vector machine; tissue classification algorithm; Algorithm design and analysis; Classification algorithms; Diseases; Gene expression; Least squares methods; Linear discriminant analysis; Medical diagnosis; Principal component analysis; Support vector machine classification; Support vector machines;
Conference_Titel :
IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-3928-7
Electronic_ISBN :
978-1-4244-3930-0
DOI :
10.1109/ITIME.2009.5236251
