Publication in refereed journal
香港中文大学研究人员 ( 现职)
| 梁广锡教授 (计算机科学与工程学系) |
| 邓亮生教授 (化学病理学系) |
全文
| 数位物件识别号 (DOI) http://dx.doi.org/10.1038/srep18898 |
引用次数
Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/2WOS source URL
其它资讯
摘要Normalization is essential to get rid of biases in microarray data for their accurate analysis. Existing normalization methods for microarray gene expression data commonly assume a similar global expression pattern among samples being studied. However, scenarios of global shifts in gene expressions are dominant in cancers, making the assumption invalid. To alleviate the problem, here we propose and develop a novel normalization strategy, Cross Normalization (CrossNorm), for microarray data with unbalanced transcript levels among samples. Conventional procedures, such as RMA and LOESS, arbitrarily flatten the difference between case and control groups leading to biased gene expression estimates. Noticeably, applying these methods under the strategy of CrossNorm, which makes use of the overall statistics of the original signals, the results showed significantly improved robustness and accuracy in estimating transcript level dynamics for a series of publicly available datasets, including titration experiment, simulated data, spike-in data and several real-life microarray datasets across various types of cancers. The results have important implications for the past and the future cancer studies based on microarray samples with non-negligible difference. Moreover, the strategy can also be applied to other sorts of high-throughput data as long as the experiments have global expression variations between conditions.
着者Cheng LX, Lo LY, Tang NLS, Wang D, Leung KS
期刊名称Scientific Reports
出版年份http://aims.cuhk.edu.hk/converis/portal/Publication/2016
月份1
日期6
卷号6
出版社NATURE PUBLISHING GROUP
国际标準期刊号http://aims.cuhk.edu.hk/converis/portal/Publication/2045-http://aims.cuhk.edu.hk/converis/portal/Publication/23http://aims.cuhk.edu.hk/converis/portal/Publication/2http://aims.cuhk.edu.hk/converis/portal/Publication/2
电子国际标準期刊号http://aims.cuhk.edu.hk/converis/portal/Publication/2045-http://aims.cuhk.edu.hk/converis/portal/Publication/23http://aims.cuhk.edu.hk/converis/portal/Publication/2http://aims.cuhk.edu.hk/converis/portal/Publication/2
语言英式英语
Web of Science 学科类别Multidisciplinary Sciences; Science & Technology - Other Topics
