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Glenda C. Delenstarr
Researcher at Agilent Technologies
Publications - Â 31
Citations - Â 2562
Glenda C. Delenstarr is an academic researcher from Agilent Technologies. The author has contributed to research in topics: Feature (computer vision) & Signal. The author has an hindex of 14, co-authored 31 publications receiving 2520 citations.
Papers
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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.
Patent
Methods for evaluating oligonucleotide probe sequences
TL;DR: In this paper, the potential of an oligonucleotide to hybridize to a target nucleotide sequence is predicted using a set of parameters independently determined and evaluated for each oligonotide.
Patent
Method and system for extracting data from surface array deposited features
TL;DR: In this paper, a method for evaluating an orientation of a molecular array having features arranged in a pattern is presented, where an image of the array is obtained by scanning the molecular array to determine data signals emanating from discrete positions on a surface of the molecular arrays, and an actual result of a function on pixels of the image which pixels lie in a second pattern, is calculated.
Patent
Systems, tools and methods of assaying biological materials using spatially-addressable arrays
TL;DR: In this article, the authors proposed a solution probe for complex sandwich hybridization assays, which consists of a first region for hybridizing to a probe, in a generic set of capture probes on a universal assay apparatus, and a second region for synthesizing a target in a sample.
Patent
Method and system for quantifying and removing spatial-intensity trends in microarray data
Jayati Ghosh,Bill J. Peck,Eric M. Leproust,Charles Troup,Glenda C. Delenstarr,Patrick J. Collins,John F. Corson,Paul K. Wolber,Xiangyang Zhou +8 more
TL;DR: In this paper, a method and system for quantifying and correcting spatial-intensity trends for each channel of a microarray data set having one or more channels is presented, based on the selected set of features, a surface is used to determine the intensities for all features in each channel.