The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
Year: 2010
Type: article
Source: Nature Biotechnology
DOI: 10.1038/nbt.1665
Authors: Leming Shi, Zhining Wen, Minjun Chen, Huixiao Hong, Roger G Perkins, James C Fuscoe, Weigong Ge, Stephen C Harris, Zhiguang Li, Jie Liu, Zhichao Liu, Baitang Ning, Qiang Shi, Brett Thorn, Lei Xu, Lun Yang, Min Zhang, Weida Tong, Gregory Campbell, Weijie Chen, Brandon D Gallas, Gene A Pennello, Reena Philip, Lakshmi Vishnuvajjala, Francisco Martinez-Murillo, Frank W Samuelson, Rong Tang, Zivana Tezak, Uwe Scherf, Wendell D Jones, Joel Parker, Fabien Campagne, Stephen J Walker, Zhenqiang Su, Hong Fang, Feng Qian, Dhivya Arasappan, Joseph Meehan, Joshua Xu, Tzu-Ming Chu, Li Li, Wenjun Bao, Wendy Czika, Kelci Miclaus, Padraic Neville, Pei-Yi Tan, Russell D Wolfinger, Federico M Goodsaid, Sue Jane Wang, Mat Soukup, Jialu Zhang, Li Zhang, Lajos Pusztai, John D Shaughnessy Jr, Bart Barlogie, Yiming Zhou, André Oberthuer, Matthias Fischer, Frank Berthold, Yvonne Kahlert, Russell S Thomas, Richard S Paules, Pierre R Bushel, Jeff Chou, Jennifer Fostel, Mark Fielden, Pan Du, Simon M Lin, Cesare Furlanello, Giuseppe Jurman, Samantha Riccadonna, Roberto Visintainer, Xijin Ge, Dalila B Megherbi, Manuel Madera, W Fraser Symmans, May D Wang, Richard A Moffitt, R Mitchell Parry, John H Phan, Todd H Stokes, John Zhang, Jun Luo, Eric Wang, Matthew Woods, Hans Bitter, Benedikt Brors, Dilafruz Juraeva, Roland Eils, Frank Westermann, Max Bylesjo, Johan Trygg, Jie Cheng, Jing Cheng, Timothy S Davison, Mauro Delorenzi, Vlad Popovici, Youping Deng, Viswanath Devanarayan, David J Dix, Fathi Elloumi, Richard Judson, Zhen Li, Joaquin Dopazo, Kevin C Dorff, Piali Mukherjee, Jianqing Fan, Yang Feng, Shicai Fan, Xuegong Zhang, Rui Jiang, Ying Liu, Lu Meng, Xiaohui Fan, Yiyu Cheng, Jianping Huang, Shao Li, Nina Gonzaludo, Kenneth R Hess, Jun Huan, Brian Quanz, Aaron Smalter, Rafael A Irizarry, Matthew N McCall, Samir Lababidi, Jennifer G Catalano, Jing Han, Raj K Puri, Christophe G Lambert, Yanen Li, Guozhen Liu, Xiao Zeng, Edward K Lobenhofer, Wen Luo, Yuri Nikolsky, Weiwei Shi, Richard J Brennan, Tatiana Nikolskaya, Nathan D Price, Jaeyun Sung, Andreas Scherer, Tieliu Shi, Chang Chang, Jian Cui, Junwei Wang, Chen Zhao, Danielle Thierry-Mieg, Jean Thierry-Mieg, Venkata Thodima, Jianping Wu, Liang Zhang, Sheng Zhu, Qinglan Sun, Yichao Wu, Qian Xie, Waleed A Yousef, Sheng Zhong, Anne Bergstrom Lucas, Stephanie Fulmer-Smentek, Andreas Buness, Rong Chen, Francesca Demichelis, Xutao Deng, Charles Wang, Damir Dosymbekov, Marina Tsyganova, Laurent Gatto, Darlene R Goldstein, Li Guo, Donald N Halbert, Christos Hatzis, Damir Herman, Roderick V Jensen, Charles D Johnson, Sadik A Khuder, Matthias Kohl, Jianying Li, Menglong Li, Quan-Zhen Li, Ignacio Medina, David Montaner, George J Mulligan, Grier P Page, Xuejun Peng, Ron L Peterson, Yi Ren, Alan H Roter, Martin M Schumacher, Frank Staedtler, Joseph D Shambaugh, Richard Shippy, Shengzhu Si, Christos Sotiriou, Guido Steiner, Yaron Turpaz, Silvia C Vega, Juergen von Frese, Wei Wang, James C Willey, Shujian Wu, Nianqing Xiao
Institutions: National Center for Toxicological Research, United States Food and Drug Administration, Environmental Protection Agency, Center for Devices and Radiological Health, Cornell University, Weill Cornell Medicine, Wake Forest University, SAS Institute (United States), Stanford Medicine, Stanford University, Center for Drug Evaluation and Research, Systems Analytics (United States), The University of Texas MD Anderson Cancer Center, University of Arkansas for Medical Sciences, University of Cologne, The Hamner Institutes for Health Sciences, National Institute of Environmental Health Sciences, Roche (United States), Northwestern University, Fondazione Bruno Kessler, South Dakota State University, University of Massachusetts Lowell, Georgia Institute of Technology, Emory University, German Cancer Research Center, Umeå University, GlaxoSmithKline (United States), Tsinghua University, Almac (United Kingdom), SIB Swiss Institute of Bioinformatics, University of Southern Mississippi, Abbott (United States), Centro de Investigacion Principe Felipe, Princeton University, Zhejiang University, University of Kansas, Johns Hopkins University, Center for Biologics Evaluation and Research, University of Illinois Urbana-Champaign, Ligand Pharmaceuticals (United States), East China Normal University, National Institutes of Health, National Center for Biotechnology Information, Memorial Sloan Kettering Cancer Center, North Carolina State University, Helwan University, Agilent Technologies (United States), F. Hoffmann-La Roche AG, Cedars-Sinai Medical Center, University of California, Los Angeles, Russian Academy of Sciences, Vavilov Institute of General Genetics, DNAVision (Belgium), École Polytechnique Fédérale de Lausanne, Chinese Academy of Sciences, Institute of Process Engineering, Nuvera Biosciences (United States), Virginia Tech, University of Toledo, University of Bayreuth, University of North Carolina at Chapel Hill, UNC Lineberger Comprehensive Cancer Center, Sichuan University, The University of Texas Southwestern Medical Center, Takeda Oncology (United States), RTI International, Takeda (United States), Rutgers, The State University of New Jersey, Novartis (Switzerland), Novartis Institutes for BioMedical Research, University of Massachusetts System, Affymetrix (United States), Institut Jules Bordet, Eli Lilly (Singapore), Microsoft (United States), Bristol-Myers Squibb (United States), OpGen (United States)
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: G1456523057, G172976250, G1733993138, G1801453541, G1944253179, G202981822, Predoctoral Biostatistics Training in Genetics/Genomics, Identifying network pertubation using secreted protein profiles in glioblastoma, Large-scale expression analysis of natural antisense transcripts, G4705346009, G4712338446, G5009290434, G550647324, G664420873, Molecular Diagnosis and Prognosis of Multiple Myeloma, Statistical Methods for Ultrahigh-dimensional Biomedical Data
OpenAlex ID: W2021560851