https://scholars.lib.ntu.edu.tw/handle/123456789/507751
標題: | Estrogen receptor status prediction by gene component regression: A comparative study | 作者: | Huang C.-C. Chuang E.Y. Tu S.-H. Lien H.-H. Jeng J.-Y. Liu J.-S. Huang C.-S. LIANG-CHUAN LAI |
公開日期: | 2014 | 出版社: | Inderscience Publishers | 卷: | 9 | 期: | 2 | 起(迄)頁: | 149-171 | 來源出版物: | International Journal of Data Mining and Bioinformatics | 摘要: | The aim of the study is to evaluate gene component analysis for microarray studies. Three dimensional reduction strategies, Principle Component Regression (PCR), Partial Least Square (PLS) and Reduced Rank Regression (RRR) were applied to publicly available breast cancer microarray dataset and the derived gene components were used for tumor classification by Logistic Regression (LR) and Linear Discriminative Analysis (LDA). The impact of gene selection/filtration was evaluated as well. We demonstrated that gene component classifiers could reduce the high-dimensionality of gene expression data and the collinearity problem inherited in most modern microarray experiments. In our study gene component analysis could discriminate Estrogen Receptor (ER) positive breast cancers from negative cancers and the proposed classifiers were successfully reproduced and projected into independent microarray dataset with high predictive accuracy.Copyright ? 2014 Inderscience Enterprises Ltd. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893519219&doi=10.1504%2fIJDMB.2014.059065&partnerID=40&md5=411d027d283c1319e31dc0dd89768046 https://scholars.lib.ntu.edu.tw/handle/123456789/507751 |
ISSN: | 1748-5673 | DOI: | 10.1504/IJDMB.2014.059065 | SDG/關鍵字: | estrogen receptor; tumor protein; article; breast tumor; comparative study; DNA microarray; female; genetic database; genetics; human; metabolism; Breast Neoplasms; Databases, Genetic; Female; Humans; Neoplasm Proteins; Oligonucleotide Array Sequence Analysis; Receptors, Estrogen |
顯示於: | 生理學科所 |
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