The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Autor: Zhichao Liu, Shujian Wu, Reena Philip, Roderick V. Jensen, Xiao Zeng, Frank W. Samuelson, Wendy Czika, Gene Pennello, Fathi Elloumi, Frank Westermann, Matthew N. McCall, James C. Fuscoe, Yichao Wu, Mauro Delorenzi, Bart Barlogie, Nina Gonzaludo, Li Li, Joel S. Parker, Rong Chen, Zivana Tezak, Jianping Wu, Rafael A. Irizarry, Xijin Ge, Andreas Scherer, Xuejun Peng, Joshua Xu, Stephanie Fulmer-Smentek, Feng Qian, Giuseppe Jurman, Xuegong Zhang, Huixiao Hong, Richard A. Moffitt, Zhen Li, Yiming Zhou, Roberto Visintainer, Dilafruz Juraeva, Damir Herman, Joaquín Dopazo, Federico Goodsaid, Zhenqiang Su, Weiwei Shi, Chang Chang, Aaron Smalter, Mark R. Fielden, Alan H. Roter, Yvonne Kahlert, Junwei Wang, Shao Li, Pierre R. Bushel, Jianying Li, Yiyu Cheng, Matthias Kohl, David Montaner, Darlene R. Goldstein, Qian Xie, Raj K. Puri, Chen Zhao, Richard J. Brennan, Li Zheng, Menglong Li, Anne Bergstrom Lucas, Jun Huan, Zhiguang Li, Jing Han, Brandon D. Gallas, Guozhen Liu, Matthew Woods, Kevin C. Dorff, Danielle Thierry-Mieg, Xiaohui Fan, Wenjun Bao, Lakshmi Vishnuvajjala, Qinglan Sun, George Mulligan, Pan Du, Sadik A. Khuder, Christos Sotiriou, Xutao Deng, John Zhang, Jie Cheng, Charles Wang, Marina Tsyganova, Leming Shi, Sue Jane Wang, Kenneth R. Hess, Nianqing Xiao, Jennifer G. Catalano, Russell S. Thomas, Rong Tang, Frank Staedtler, Wen Luo, David J. Dix, Benedikt Brors, Juergen Von Frese, W. Fraser Symmans, Yang Feng, Lu Meng, Samantha Riccadonna, Gregory Campbell, Charles D. Johnson, John H. Phan, Johan Trygg, Ron L. Peterson, Sheng Zhu, Jie Liu, May D. Wang, Dhivya Arasappan, John D. Shaughnessy, R. Mitchell Parry, Tatiana Nikolskaya, Youping Deng, Stephen C. Harris, Tieliu Shi, Manuel Madera, Jeff W. Chou, Grier P. Page, Baitang Ning, Jian Cui, Liang Zhang, Eric Wang, Russell D. Wolfinger, Venkata Thodima, J. Luo, Min Zhang, Timothy Davison, Sheng Zhong, Guido Steiner, Pei Yi Tan, Yi Ren, Frank Berthold, Padraic Neville, Viswanath Devanarayan, Yaron Turpaz, Ying Liu, Uwe Scherf, Jialu Zhang, Lei Xu, Jennifer Fostel, Shengzhu Si, Christophe G. Lambert, Jianqing Fan, Yanen Li, Rui Jiang, Cesare Furlanello, Zhining Wen, Jianping Huang, Lajos Pusztai, Li Lee, Mat Soukup, Brett T. Thorn, Joseph D. Shambaugh, Hong Fang, S. Vega, Andreas Buness, Todd H. Stokes, Christos Hatzis, Waleed A. Yousef, Lun Yang, Francesca Demichelis, Nathan D. Price, Donald N. Halbert, Qiang Shi, Ignacio Medina, Martin Schumacher, Stephen J. Walker, Wendell D. Jones, Fabien Campagne, Li Guo, James C. Willey, Joseph Meehan, Weigong Ge, Hans Bitter, Max Bylesjö, Jing Cheng, Matthias Fischer, Richard S. Paules, Piali Mukherjee, Jean Thierry-Mieg, Laurent Gatto, Shicai Fan, Roland Eils, Tzu Ming Chu, Yuri Nikolsky, Brian Quanz, André Oberthuer, Simon Lin, Francisco Martinez-Murillo, Damir Dosymbekov, Jaeyun Sung, Minjun Chen, Richard Shippy, Samir Lababidi, Edward K. Lobenhofer, Vlad Popovici, Weida Tong, Quan Zhen Li, Dalila B. Megherbi, Roger Perkins, Wei Wang, K. Miclaus, Richard S. Judson, Weijie Chen

Publikováno v: Nature Biotechnology. 28:827-838

Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6806d05f1d68b258ce11317a2537a21f
https://doi.org/10.1038/nbt.1665