Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Olga Troyanskaya"'
Autor:
Yuan Wang, Hideho Okada, Wendell Lim, Tiffany Chen, Takahide Nejo, Akane Yamamichi, Su Phyu, Senthilnath Lakshmanachetty, Payal Watchmaker, Milos Simic, Chanelle Shepherd, Jason Duecker, Olga Troyanskaya, Lia Cardarelli, Sachdev Sidhu
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/7ae11c9ed168466681e56c4ed1517efa
Autor:
Shakila Jabeen, Manuela Zucknick, Marianne Nome, Ruth Dannenfelser, Thomas Fleischer, Surendra Kumar, Torben Lüders, Hedda von der Lippe Gythfeldt, Olga Troyanskaya, Jon Amund Kyte, Anne-Lise Børresen-Dale, Bjørn Naume, Xavier Tekpli, Olav Engebraaten, Vessela Kristensen
Publikováno v:
OncoImmunology, Vol 7, Iss 11 (2018)
A high concentration of circulating vascular endothelial growth factor (VEGF) in cancer patients is associated with an aggressive tumor phenotype. Here, serum levels of 27 cytokines and blood cell counts were assessed in breast cancer patients receiv
Externí odkaz:
https://doaj.org/article/126acec5ccb24a69b018973f329b736e
Autor:
Aaditya V Rangan, Caroline C McGrouther, John Kelsoe, Nicholas Schork, Eli Stahl, Qian Zhu, Arjun Krishnan, Vicky Yao, Olga Troyanskaya, Seda Bilaloglu, Preeti Raghavan, Sarah Bergen, Anders Jureus, Mikael Landen, Bipolar Disorders Working Group of the Psychiatric Genomics Consortium
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 5, p e1006105 (2018)
A common goal in data-analysis is to sift through a large data-matrix and detect any significant submatrices (i.e., biclusters) that have a low numerical rank. We present a simple algorithm for tackling this biclustering problem. Our algorithm accumu
Externí odkaz:
https://doaj.org/article/3516fd8d65ac40969c8cda7731788d4e
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 3, p e1000698 (2010)
Genome-scale datasets have been used extensively in model organisms to screen for specific candidates or to predict functions for uncharacterized genes. However, despite the availability of extensive knowledge in model organisms, the planning of geno
Externí odkaz:
https://doaj.org/article/e94b9139f5a04c9eaa0a0d9a123fe982
Autor:
Olga Troyanskaya
Publikováno v:
PLoS Computational Biology, Vol 3, Iss 10, p 1841 (2007)
Externí odkaz:
https://doaj.org/article/5e7ad16b901a4d08bb62becb86907c8a
Autor:
Rachel Sealfon, Laura Mariani, Carmen Avila-Casado, Viji Nair, Rajasree Menon, Julien Funk, Aaron Wong, Gabriel Lerner, Norifumi Hayashi, Olga Troyanskaya, Matthias Kretzler, Laurence H. Beck
Publikováno v:
J Am Soc Nephrol
BACKGROUND: Molecular characterization of nephropathies may facilitate pathophysiologic insight, development of targeted therapeutics, and transcriptome-based disease classification. Although membranous nephropathy (MN) is a common cause of adult-ons
Autor:
Rajasree Menon, Andrew S. Bomback, Blue B. Lake, Christy Stutzke, Stephanie M. Grewenow, Steven Menez, Vivette D. D’Agati, Sanjay Jain, Richard Knight, Stewart H. Lecker, Isaac Stillman, Steve Bogen, Laurence H. Beck, Sushrut Waikar, Gearoid M. McMahon, Astrid Weins, Mia R. Colona, Nir Hacohen, Paul J. Hoover, Mark Aulisio, William S. Bush, Dana C. Crawford, John O'toole, Emilio Poggio, John Sedor, Leslie Cooperman, Stacey Jolly, Leal Herlitz, Jane Nguyen, Agustin Gonzalez-Vicente, Ellen Palmer, Dianna Sendrey, Carissa Vinovskis, Petter M. Bjornstad, Paul Appelbaum, Jonathan M. Barasch, Vivette D. D'Agati, Krzysztof Kiryluk, Karla Mehl, Pietro A. Canetta, Ning Shang, Olivia Balderes, Satoru Kudose, Shweta Bansal, Theodore Alexandrov, Helmut Rennke, Tarek M. El-Achkar, Yinghua Cheng, Pierre C. Dagher, Michael T. Eadon, Kenneth W. Dunn, Katherine J. Kelly, Timothy A. Sutton, Daria Barwinska, Michael J. Ferkowicz, Seth Winfree, Sharon Bledsoe, Marcelino Rivera, James C. Williams, Ricardo Melo Ferreira, Chirag R. Parikh, Celia P. Corona-Villalobos, Avi Rosenberg, Sylvia E. Rosas, Neil Roy, Mark Williams, Evren U. Azeloglu, Cijang He, Ravi Iyengar, Jens Hansen, Yuguang Xiong, Brad Rovin, Samir Parikh, John P. Shapiro, Christopher R. Anderton, Ljiljana Pasa-Tolic, Dusan Velickovic, Jessica Lukowski, George Oliver, Joseph Ardayfio, Jack Bebiak, Keith Brown, Catherine E. Campbell, John Saul, Anna Shpigel, Robert Koewler, Taneisha Campbell, Lynda Hayashi, Nichole Jefferson, Glenda V. Roberts, Roy Pinkeney, Olga Troyanskaya, Rachel Sealfon, Katherine R. Tuttle, Yury Goltsev, Kun Zhang, Zoltan G. Laszik, Garry Nolan, Patrick Boada, Minnie Sarwal, Tara Sigdel, Paul J. Lee, Rita R. Alloway, E. Steve Woodle, Heather Ascani, Ulysses G.J. Balis, Jeffrey B. Hodgin, Matthias Kretzler, Chrysta Lienczewski, Laura H. Mariani, Becky Steck, Yougqun He, Edgar Otto, Jennifer Schaub, Victoria M. Blanc, Sean Eddy, Ninive C. Conser, Jinghui Luo, Paul M. Palevsky, Matthew Rosengart, John A. Kellum, Daniel E. Hall, Parmjeet Randhawa, Mitchell Tublin, Raghavan Murugan, Michele M. Elder, James Winters, Charles E. Alpers, Kristina N. Blank, Jonas Carson, Ian H. De Boer, Ashveena L. Dighe, Jonathan Himmelfarb, Sean D. Mooney, Stuart Shankland, Kayleen Williams, Christopher Park, Frederick Dowd, Robyn L. McClelland, Stephen Daniel, Andrew N. Hoofnagle, Adam Wilcox, Kumar Sharma, Manjeri Venkatachalam, Guanshi Zhang, Annapurna Pamreddy, Hongping Ye, Richard Montellano, Robert D. Toto, Miguel Vazquez, Simon C. Lee, R. Tyler Miller, Orson W. Moe, Jose Torrealba, Nancy Wang, Asra Kermani, Kamalanathan Sambandam, Harold Park, S. Susan Hedayati, Christopher Y. Lu, Anitha Vijayan, Joseph P. Gaut, Dennis Moledina, Francis P. Wilson, Ugochukwu Ugwuowo, Tanima Arora
Publikováno v:
Kidney Int
Autor:
Vessela Kristensen, Anne-Lise Børresen-Dale, Allan Balmain, Carlos Caldas, Suet-Feung Chin, Olga Troyanskaya, Josie Ursini Siegel, Charles Vaske, Hans Kristian Moen Vollan, Anita Langerød, Ruth Dannenfelser, Laxmi Silwal-Pandit, David Quigley
Supplementary Figures S1-S5, Tables 1-3. S1: Distributions of P values from interaction analysis of Discovery (a) and Validation (c) cohorts. Comparison of Permutation P values and parametric P values for interaction analysis in Discovery (b) and Val
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fa8bf160cb30f344beae60a9f3641f3
https://doi.org/10.1158/1541-7786.22517295.v1
https://doi.org/10.1158/1541-7786.22517295.v1
Autor:
R. Camille Brewer, Tobias V. Lanz, Caryn R. Hale, Gregory D. Sepich-Poore, Cameron Martino, Austin D. Swafford, Thomas S. Carroll, Sarah Kongpachith, Lisa K. Blum, Serra E. Elliott, Nathalie E. Blachere, Salina Parveen, John Fak, Vicky Yao, Olga Troyanskaya, Mayu O. Frank, Michelle S. Bloom, Shaghayegh Jahanbani, Alejandro M. Gomez, Radhika Iyer, Nitya S. Ramadoss, Orr Sharpe, Sangeetha Chandrasekaran, Lindsay B. Kelmenson, Qian Wang, Heidi Wong, Holly L. Torres, Mark Wiesen, Dana T. Graves, Kevin D. Deane, V. Michael Holers, Rob Knight, Robert B. Darnell, William H. Robinson, Dana E. Orange
Publikováno v:
Science Translational Medicine. 15
Periodontal disease is more common in individuals with rheumatoid arthritis (RA) who have detectable anti-citrullinated protein antibodies (ACPAs), implicating oral mucosal inflammation in RA pathogenesis. Here, we performed paired analysis of human
Autor:
Ran Zhang, Margarete Knudsen, Pedro Del Cioppo Vasques, Alicja Tadych, Patricia Rodriguez-Rodriguez, Paul Greengard, Jean-Pierre Roussarie, Ana Milosevic, Olga Troyanskaya
Astrocytes have been shown to play a central role in Alzheimer’s Disease (AD). However, the genes and biological pathways underlying disease manifestation are unknown, and it is unclear whether regional molecular differences among astrocytes contri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bf5e1b419aaaa25dfa79b689263c2da
https://doi.org/10.1101/2022.11.16.515390
https://doi.org/10.1101/2022.11.16.515390