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Information Journal Paper

Title

ROBUST DNA MICROARRAY CLASSIFICATION USING A NOVEL ENSEMBLE MODEL

Pages

  9-19

Abstract

 Since a robust and accurate classification of tumors is essential for successful treatment of cancer, classification of DNA microarray data has been widely used in effective diagnosis of cancers and some other biological maladies. This paper presents a new ensemble machine learning model for development of robust microarray data classification. The main idea of the proposed model is to build a homogeneous ensemble of base classifiers using different gene subsets to predict the class of each sample. We used STACKED GENERALIZATION as the combination scheme to learn the base classifiers' behavior for each sample. The performance of the proposed model has been evaluated over four publicly available cancer microarray datasets. Experimental results have demonstrated that not only the suggested classifier greatly outperforms existing conventional machine learning methods, but also it is notably more accurate and robust than some traditional ensemble based classifiers and its performance could be compared to some recently introduced outstanding ensemble-based methods.

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    APA: Copy

    BAGHERIAN, M., BEYGY, H., & BAHARVAND IRANNIA, ZOHREH. (2008). ROBUST DNA MICROARRAY CLASSIFICATION USING A NOVEL ENSEMBLE MODEL. JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT), 34(3), 9-19. SID. https://sid.ir/paper/2265/en

    Vancouver: Copy

    BAGHERIAN M., BEYGY H., BAHARVAND IRANNIA ZOHREH. ROBUST DNA MICROARRAY CLASSIFICATION USING A NOVEL ENSEMBLE MODEL. JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT)[Internet]. 2008;34(3):9-19. Available from: https://sid.ir/paper/2265/en

    IEEE: Copy

    M. BAGHERIAN, H. BEYGY, and ZOHREH BAHARVAND IRANNIA, “ROBUST DNA MICROARRAY CLASSIFICATION USING A NOVEL ENSEMBLE MODEL,” JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT), vol. 34, no. 3, pp. 9–19, 2008, [Online]. Available: https://sid.ir/paper/2265/en

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    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
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