S
Stephen C. Harris
Researcher at National Center for Toxicological Research
Publications - 24
Citations - 4594
Stephen C. Harris is an academic researcher from National Center for Toxicological Research. The author has contributed to research in topics: Biological database & Gene chip analysis. The author has an hindex of 15, co-authored 24 publications receiving 4405 citations. Previous affiliations of Stephen C. Harris include Food and Drug Administration.
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Journal ArticleDOI
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
Leming Shi,Laura H. Reid,Wendell D. Jones,Richard Shippy,Janet A. Warrington,Shawn C. Baker,Patrick J. Collins,Francoise de Longueville,Ernest S. Kawasaki,Kathleen Y. Lee,Yuling Luo,Yongming Andrew Sun,James C. Willey,Robert Setterquist,Gavin M. Fischer,Weida Tong,Yvonne P. Dragan,David J. Dix,Felix W. Frueh,Federico Goodsaid,Damir Herman,Roderick V. Jensen,Charles D. Johnson,Edward K. Lobenhofer,Raj K. Puri,Uwe Scherf,Jean Thierry-Mieg,Charles Wang,Michael A Wilson,Paul K. Wolber,Lu Zhang,William Slikker,Shashi Amur,Wenjun Bao,Catalin Barbacioru,Anne Bergstrom Lucas,Vincent Bertholet,Cecilie Boysen,Bud Bromley,Donna Brown,Alan Brunner,Roger D. Canales,Xiaoxi Megan Cao,Thomas A. Cebula,James J. Chen,Jing Cheng,Tzu Ming Chu,Eugene Chudin,John F. Corson,J. Christopher Corton,Lisa J. Croner,Christopher Davies,Timothy Davison,Glenda C. Delenstarr,Xutao Deng,David Dorris,Aron Charles Eklund,Xiaohui Fan,Hong Fang,Stephanie Fulmer-Smentek,James C. Fuscoe,Kathryn Gallagher,Weigong Ge,Lei Guo,Xu Guo,Janet Hager,Paul K. Haje,Jing Han,Tao Han,Heather Harbottle,Stephen C. Harris,Eli Hatchwell,Craig A. Hauser,Susan D. Hester,Huixiao Hong,Patrick Hurban,Scott A. Jackson,Hanlee P. Ji,Charles R. Knight,Winston Patrick Kuo,J. Eugene LeClerc,Shawn Levy,Quan Zhen Li,Chunmei Liu,Ying Liu,Michael Lombardi,Yunqing Ma,Scott R. Magnuson,Botoul Maqsodi,Timothy K. McDaniel,Nan Mei,Ola Myklebost,Baitang Ning,Natalia Novoradovskaya,Michael S. Orr,Terry Osborn,Adam Papallo,Tucker A. Patterson,Roger Perkins,Elizabeth Herness Peters,Ron L. Peterson,Kenneth L. Philips,P. Scott Pine,Lajos Pusztai,Feng Qian,Hongzu Ren,Mitch Rosen,Barry A. Rosenzweig,Raymond R. Samaha,Mark Schena,Gary P. Schroth,Svetlana Shchegrova,Dave D. Smith,Frank Staedtler,Zhenqiang Su,Hongmei Sun,Zoltan Szallasi,Zivana Tezak,Danielle Thierry-Mieg,Karol L. Thompson,Irina Tikhonova,Yaron Turpaz,Beena Vallanat,Christophe Van,Stephen J. Walker,Sue Jane Wang,Yonghong Wang,Russell D. Wolfinger,Alexander Wong,Jie Wu,Chunlin Xiao,Qian Xie,Jun Xu,Wen Yang,Liang Zhang,Sheng Zhong,Yaping Zong +136 more
TL;DR: This study describes the experimental design and probe mapping efforts behind the MicroArray Quality Control project and shows intraplatform consistency across test sites as well as a high level of interplatform concordance in terms of genes identified as differentially expressed.
Journal ArticleDOI
The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
Leming Shi,Gregory Campbell,Wendell D. Jones,Fabien Campagne,Zhining Wen,Stephen J. Walker,Zhenqiang Su,Tzu Ming Chu,Federico Goodsaid,Lajos Pusztai,John D. Shaughnessy,André Oberthuer,Russell S. Thomas,Richard S. Paules,Mark R. Fielden,Bart Barlogie,Weijie Chen,Pan Du,Matthias Fischer,Cesare Furlanello,Brandon D. Gallas,Xijin Ge,Dalila B. Megherbi,W. Fraser Symmans,May D. Wang,John Zhang,Hans Bitter,Benedikt Brors,Pierre R. Bushel,Max Bylesjö,Minjun Chen,Jie Cheng,Jing Cheng,Jeff W. Chou,Timothy Davison,Mauro Delorenzi,Youping Deng,Viswanath Devanarayan,David J. Dix,Joaquín Dopazo,Kevin C. Dorff,Fathi Elloumi,Jianqing Fan,Shicai Fan,Xiaohui Fan,Hong Fang,Nina Gonzaludo,Kenneth R. Hess,Huixiao Hong,Jun Huan,Rafael A. Irizarry,Richard S. Judson,Dilafruz Juraeva,Samir Lababidi,Christophe G. Lambert,Li Li,Yanen Li,Zhen Li,Simon Lin,Guozhen Liu,Edward K. Lobenhofer,J. Luo,Wen Luo,Matthew N. McCall,Yuri Nikolsky,Gene Pennello,Roger Perkins,Reena Philip,Vlad Popovici,Nathan D. Price,Feng Qian,Andreas Scherer,Tieliu Shi,Weiwei Shi,Jaeyun Sung,Danielle Thierry-Mieg,Jean Thierry-Mieg,Venkata Thodima,Johan Trygg,Lakshmi Vishnuvajjala,Sue Jane Wang,Jianping Wu,Yichao Wu,Qian Xie,Waleed A. Yousef,Liang Zhang,Xuegong Zhang,Sheng Zhong,Yiming Zhou,Sheng Zhu,Dhivya Arasappan,Wenjun Bao,Anne Bergstrom Lucas,Frank Berthold,Richard J. Brennan,Andreas Buness,Jennifer G. Catalano,Chang Chang,Rong Chen,Yiyu Cheng,Jian Cui,Wendy Czika,Francesca Demichelis,Xutao Deng,Damir Dosymbekov,Roland Eils,Yang Feng,Jennifer Fostel,Stephanie Fulmer-Smentek,James C. Fuscoe,Laurent Gatto,Weigong Ge,Darlene R. Goldstein,Li Guo,Donald N. Halbert,Jing Han,Stephen C. Harris,Christos Hatzis,Damir Herman,Jianping Huang,Roderick V. Jensen,Rui Jiang,Charles D. Johnson,Giuseppe Jurman,Yvonne Kahlert,Sadik A. Khuder,Matthias Kohl,Jianying Li,Li Lee,Menglong Li,Quan Zhen Li,Shao Li,Zhiguang Li,Jie Liu,Ying Liu,Zhichao Liu,Lu Meng,Manuel Madera,Francisco Martinez-Murillo,Ignacio Medina,Joseph Meehan,K. Miclaus,Richard A. Moffitt,David Montaner,Piali Mukherjee,George Mulligan,Padraic Neville,Tatiana Nikolskaya,Baitang Ning,Grier P. Page,Joel S. Parker,R. Mitchell Parry,Xuejun Peng,Ron L. Peterson,John H. Phan,Brian Quanz,Yi Ren,Samantha Riccadonna,Alan H. Roter,Frank W. Samuelson,Martin Schumacher,Joseph D. Shambaugh,Qiang Shi,Richard Shippy,Shengzhu Si,Aaron Smalter,Christos Sotiriou,Mat Soukup,Frank Staedtler,Guido Steiner,Todd H. Stokes,Qinglan Sun,Pei Yi Tan,Rong Tang,Zivana Tezak,Brett T. Thorn,Marina Tsyganova,Yaron Turpaz,S. Vega,Roberto Visintainer,Juergen Von Frese,Charles Wang,Eric Wang,Junwei Wang,Wei Wang,Frank Westermann,James C. Willey,Matthew Woods,Shujian Wu,Nianqing Xiao,Joshua Xu,Lei Xu,Lun Yang,Xiao Zeng,Jialu Zhang,Li Zheng,Min Zhang,Chen Zhao,Raj K. Puri,Uwe Scherf,Weida Tong,Russell D. Wolfinger +201 more
TL;DR: P predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans are generated.
Journal ArticleDOI
The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
Leming Shi,Wendell D. Jones,Roderick V. Jensen,Stephen C. Harris,Roger Perkins,Federico Goodsaid,Lei Guo,Lisa J. Croner,Cecilie Boysen,Hong Fang,Feng Qian,Shashi Amur,Wenjun Bao,Catalin Barbacioru,Vincent Bertholet,Xiaoxi Megan Cao,Tzu Ming Chu,Patrick J. Collins,Xiaohui Fan,Xiaohui 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 T. 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 +49 more
TL;DR: The results provide practical guidance to choose the appropriate FC and P-value cutoffs when selecting a given number of DEGs and recommend the use of FC-ranking plus a non-stringent P cutoff as a straightforward and baseline practice in order to generate more reproducible DEG lists.
Journal ArticleDOI
Rat toxicogenomic study reveals analytical consistency across microarray platforms
Lei Guo,Edward K. Lobenhofer,Charles Wang,Richard Shippy,Stephen C. Harris,Lu Zhang,Nan Mei,Tao Chen,Damir Herman,Federico Goodsaid,Patrick Hurban,K. L. Phillips,Jun Xu,Xutao Deng,Yongming Andrew Sun,Weida Tong,Yvonne P. Dragan,Leming Shi +17 more
TL;DR: The real-world toxicogenomic data set reported here showed high concordance in intersite and cross-platform comparisons and gene lists generated by fold-change ranking were more reproducible than those obtained by t-test P value or Significance Analysis of Microarrays.
Journal ArticleDOI
ISA software suite
Philippe Rocca-Serra,Marco Brandizi,Eamonn Maguire,Eamonn Maguire,Nataliya Sklyar,Chris F. Taylor,Kimberly Begley,Dawn Field,Stephen C. Harris,Winston Hide,Oliver Hofmann,Steffen Neumann,Peter Sterk,Weida Tong,Susanna-Assunta Sansone,Susanna-Assunta Sansone +15 more
TL;DR: The first open source software suite for experimentalists and curators that assists in the annotation and local management of experimental metadata from high-throughput studies employing one or a combination of omics and other technologies.