P
Pierre R. Bushel
Researcher at National Institutes of Health
Publications - 131
Citations - 9825
Pierre R. Bushel is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Gene & Gene expression. The author has an hindex of 46, co-authored 125 publications receiving 8980 citations. Previous affiliations of Pierre R. Bushel include North Carolina State University & Research Triangle Park.
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Journal ArticleDOI
Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models
Russell D. Wolfinger,Greg Gibson,Elizabeth D. Wolfinger,Lee Bennett,Hisham K. Hamadeh,Pierre R. Bushel,Cynthia A. Afshari,Richard S. Paules +7 more
TL;DR: A statistical approach is presented that allows direct control over the percentage of false positives in such a list of differentially expressed genes and, under certain reasonable assumptions, improves on existing methods with respect to the percentages of false negatives.
Journal ArticleDOI
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Zhenqiang Su,Paweł P. Łabaj,Sheng Li,Jean Thierry-Mieg,Danielle Thierry-Mieg,Wei Shi,Charles Wang,Gary P. Schroth,Robert Setterquist,John F. Thompson,Wendell D. Jones,Wenzhong Xiao,Wenzhong Xiao,Weihong Xu,Roderick V. Jensen,Reagan Kelly,Joshua Xu,Ana Conesa,Cesare Furlanello,Hanlin Gao,Huixiao Hong,Nadereh Jafari,Stan Letovsky,Yang Liao,Fei Lu,Edward J. Oakeley,Zhiyu Peng,Craig A. Praul,Javier Santoyo-Lopez,Andreas Scherer,Tieliu Shi,Gordon K. Smyth,Frank Staedtler,Peter Sykacek,Xin Xing Tan,E. Aubrey Thompson,Jo Vandesompele,May D. Wang,Jian Wang,Russell D. Wolfinger,Jiri Zavadil,Jiri Zavadil,Scott S. Auerbach,Wenjun Bao,Hans Binder,Thomas M. Blomquist,Murray H. Brilliant,Pierre R. Bushel,Weimin Cai,Jennifer G. Catalano,Ching-Wei Chang,Tao Chen,Geng Chen,Rong Chen,Marco Chierici,Tzu Ming Chu,Djork-Arné Clevert,Youping Deng,Adnan Derti,Viswanath Devanarayan,Zirui Dong,Joaquín Dopazo,Tingting Du,Hong Fang,Yongxiang Fang,Mario Fasold,Anita Fernandez,Matthias Fischer,Pedro Furió-Tarí,James C. Fuscoe,Florian Caimet,Stan Gaj,Jorge Gandara,Huan Gao,Weigong Ge,Yoichi Gondo,Binsheng Gong,Meihua Gong,Zhuolin Gong,Bridgett Green,Chao Guo,Lei Guo,Li Wu Guo,James Hadfield,Jan Hellemans,Sepp Hochreiter,Meiwen Jia,Min Jian,Charles D. Johnson,Suzanne Kay,Jos C. S. Kleinjans,Samir Lababidi,Shawn Levy,Quan Zhen Li,Li Li,Peng Li,Yan Li,Haiqing Li,Jianying Li,Shiyong Li,Simon Lin,Francisco Javier López,Xin Lu,Heng Luo,Xiwen Ma,Joseph Meehan,Dalila B. Megherbi,Nan Mei,Bing Mu,Baitang Ning,Akhilesh Pandey,Javier Pérez-Florido,Roger Perkins,Ryan Peters,John H. Phan,Mehdi Pirooznia,Feng Qian,Tao Qing,Lucille Rainbow,Philippe Rocca-Serra,Laure Sambourg,Susanna-Assunta Sansone,Scott Schwartz,Ruchir R. Shah,Jie Shen,Todd M. Smith,Oliver Stegle,Nancy Stralis-Pavese,Elia Stupka,Yutaka Suzuki,Lee Thomas Szkotnicki,Matthew Tinning,Bimeng Tu,Joost H.M. van Delft,Alicia Vela-Boza,Elisa Venturini,Stephen J. Walker,Liqing Wan,Wei Wang,Jinhui Wang,Jun Wang,Jun Wang,Eric D. Wieben,James C. Willey,Po Yen Wu,Jiekun Xuan,Yong Yang,Zhan Ye,Ye Yin,Ying Yu,Yate Ching Yuan,John Zhang,Ke Zhang,Wenqian Zhang,Wenwei Zhang,Yanyan Zhang,Chen Zhao,Yuanting Zheng,Yiming Zhou,Paul Zumbo,Weida Tong,David P. Kreil,David P. Kreil,Christopher E. Mason,Leming Shi +164 more
TL;DR: The complete SEQC data sets, comprising >100 billion reads, provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings, and measurement performance depends on the platform and data analysis pipeline, and variation is large for transcript-level profiling.
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
Standardizing global gene expression analysis between laboratories and across platforms
Theodore Bammler,Richard P. Beyer,Sanchita Bhattacharya,Gary A. Boorman,Abee L. Boyles,Blair U. Bradford,Roger E. Bumgarner,Pierre R. Bushel,Kabir Chaturvedi,Dongseok Choi,Michael L. Cunningham,Shibing Deng,Holly K. Dressman,Rickie D. Fannin,Fredrico M. Farin,Jonathan H. Freedman,Rebecca C. Fry,Angel Harper,Michael C. Humble,Patrick Hurban,Terrance J. Kavanagh,William K. Kaufmann,Kathleen F. Kerr,Li Jing,Jodi Lapidus,Michael R. Lasarev,Jianying Li,Yi-Ju Li,Edward K. Lobenhofer,Xinfang Lu,Renae L. Malek,Sean Milton,Srinivasa R. Nagalla,Jean P. O'Malley,Valerie S. Palmer,Patrick Pattee,Richard S. Paules,Charles M. Perou,Ken Phillips,Li-Xuan Qin,Yang Qiu,Sean D. Quigley,Matthew Rodland,Ivan Rusyn,Leona D. Samson,David A. Schwartz,Yan Shi,Jung Lim Shin,Stella O. Sieber,Susan H. Slifer,Marcy C. Speer,Peter S. Spencer,Dean I. Sproles,James A. Swenberg,William A. Suk,Robert C. Sullivan,Ru Tian,Raymond W. Tennant,Signe A. Todd,Charles J. Tucker,Bennett Van Houten,Brenda K. Weis,Shirley Xuan,Helmut Zarbl +63 more
TL;DR: In this paper, the authors proposed a method for standardizing global gene expression analysis between laboratories and across platforms, which can be found in Section 5.2.1.1].
Journal ArticleDOI
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
Charles Wang,Binsheng Gong,Pierre R. Bushel,Jean Thierry-Mieg,Danielle Thierry-Mieg,Joshua Xu,Hong Fang,Huixiao Hong,Jie Shen,Zhenqiang Su,Joe Meehan,Xiaojin Li,Lu Yang,Haiqing Li,Paweł P. Łabaj,David P. Kreil,Dalila B. Megherbi,Stan Gaj,Florian Caiment,Joost H.M. van Delft,Jos C. S. Kleinjans,Andreas Scherer,Viswanath Devanarayan,Jian Wang,Yong Yang,Hui-Rong Qian,Lee Lancashire,Marina Bessarabova,Yuri Nikolsky,Cesare Furlanello,Marco Chierici,Davide Albanese,Giuseppe Jurman,Samantha Riccadonna,Michele Filosi,Roberto Visintainer,Ke Zhang,Jianying Li,Jui-Hua Hsieh,Daniel L. Svoboda,James C. Fuscoe,Youping Deng,Leming Shi,Richard S. Paules,Scott S. Auerbach,Weida Tong +45 more
TL;DR: RNA-seq outperforms microarray in DEG verification as assessed by quantitative PCR, with the gain mainly due to its improved accuracy for low-abundance transcripts, and classifiers to predict MOAs perform similarly when developed using data from either platform.