https://scholars.lib.ntu.edu.tw/handle/123456789/604954
標題: | Concurrent analysis of copy number variation and gene expression: Application in paired non-smoking female lung cancer patients | 作者: | Chang, J.-C. LIANG-CHUAN LAI TZU-PIN LU MONG-HSUN TSAI Chuang, E.Y. CHUHSING KATE HSIAO ERIC YAO-YU CHUANG |
公開日期: | 2010 | 起(迄)頁: | 599-602 | 來源出版物: | Proceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010 | 摘要: | This study developed a method to identify disease-correlated pathways by integrating copy numbers (CN) and gene expression (GE). To evaluate the correlation between CN and GE, a suitable window size was assessed by simulation. Gene Set Enrichment Analysis (GSEA) was utilized to identify the possible pathways by CN, GE, and their correlations, respectively. Each of those enriched pathways was further assigned a score to incorporate the information from CN, GE, and their correlations. A dataset of 44 female non-smoking lung cancer patients with both normal and tumor tissues was used to evaluate the performance of this method. To further appraise the predicting abilities of those pathways, patients were classified by support vector machines using the pathways identified by only copy number, only gene expression and incorporating CN, GE, and their correlations. The results showed that the proposed method earned higher accuracy, sensitivity and specificity than traditional methods. ©2010 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952379406&doi=10.1109%2fBIBM.2010.5706636&partnerID=40&md5=c10c5570247c323def5675db263a82be https://scholars.lib.ntu.edu.tw/handle/123456789/604954 |
ISBN: | 978-1424483075 | DOI: | 10.1109/BIBM.2010.5706636 | SDG/關鍵字: | Copy number; Data sets; Lung Cancer; Sensitivity and specificity; Tumor tissues; Window Size; Bioinformatics; Biological organs; Data processing; Diseases; Rating; Gene expression |
顯示於: | 流行病學與預防醫學研究所 |
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