作者
Leming Shi, Wendell D Jones, Roderick V Jensen, Stephen C Harris, Roger G Perkins, Federico M Goodsaid, Lei Guo, Lisa J Croner, Cecilie Boysen, Hong Fang, Feng Qian, Shashi Amur, Wenjun Bao, Catalin C Barbacioru, Vincent Bertholet, Xiaoxi Megan Cao, Tzu-Ming Chu, Patrick J Collins, Xiao-hui Fan, Felix W Frueh, James C Fuscoe, Xu Guo, Jing Han, Damir Herman, Huixiao Hong, Ernest S Kawasaki, Quan-Zhen Li, Yuling Luo, Yunqing Ma, Nan Mei, Ron L Peterson, Raj K Puri, Richard Shippy, Zhenqiang Su, Yongming Andrew Sun, Hongmei Sun, Brett Thorn, Yaron Turpaz, Charles Wang, Sue Jane Wang, Janet A Warrington, James C Willey, Jie Wu, Qian Xie, Liang Zhang, Lu Zhang, Sheng Zhong, Russell D Wolfinger, Weida Tong
发表日期
2008/8
研讨会论文
BMC bioinformatics
卷号
9
页码范围
1-19
出版商
BioMed Central
简介
Background
Reproducibility is a fundamental requirement in scientific experiments. Some recent publications have claimed that microarrays are unreliable because lists of differentially expressed genes (DEGs) are not reproducible in similar experiments. Meanwhile, new statistical methods for identifying DEGs continue to appear in the scientific literature. The resultant variety of existing and emerging methods exacerbates confusion and continuing debate in the microarray community on the appropriate choice of methods for identifying reliable DEG lists.
Results
Using the data sets generated by the MicroArray Quality Control (MAQC) project, we investigated the impact on the reproducibility of DEG lists of a few widely used gene selection procedures. We present comprehensive results from inter-site comparisons using the same microarray platform, cross …
引用总数
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L Shi, WD Jones, RV Jensen, SC Harris, RG Perkins… - BMC bioinformatics, 2008