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ORCIDSylvia K. Plevritis
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2020 – today
- 2022
[j14]Benedict Anchang
, Raul Mendez-Giraldez, Xiaojiang Xu, Trevor K. Archer, Qing Chen, Guang Hu, Sylvia K. Plevritis, Alison Anne Motsinger-Reif, Jian-Liang Li:
Visualization, benchmarking and characterization of nested single-cell heterogeneity as dynamic forest mixtures. Briefings Bioinform. 23(2) (2022)- [c4]Gautam Machiraju, Sylvia K. Plevritis, Parag Mallick:
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers and Their Explanations. ECCV (12) 2022: 422-442 - 2021
- [j13]Amy Trentham-Dietz, Oguzhan Alagöz, Christina Chapman, Xuelin Huang, Jinani Jayasekera, Nicolien T. van Ravesteyn, Sandra J. Lee, Clyde B. Schechter, Jennifer M. Yeh, Sylvia K. Plevritis, Jeanne S. Mandelblatt, Breast Working Group of the Cancer Intervention, Surveillance Modeling Network (CISNET):
Reflecting on 20 years of breast cancer modeling in CISNET: Recommendations for future cancer systems modeling efforts. PLoS Comput. Biol. 17(6) (2021)
2010 – 2019
- 2019
- [j12]Michael P. Snyder, Shin Lin, Amanda Posgai, Mark Atkinson, Aviv Regev, Jennifer Rood, Orit Rozenblatt-Rosen, Leslie Gaffney, Anna Hupalowska, Rahul Satija, Nils Gehlenborg, Jay Shendure, Julia Laskin, Pehr Harbury, Nicholas A. Nystrom, Jonathan C. Silverstein, Ziv Bar-Joseph, Kun Zhang, Katy Börner, Yiing Lin, Richard Conroy, Dena Procaccini, Ananda L. Roy, Ajay Pillai, Marishka Brown, Zorina S. Galis, Long Cai, Cole Trapnell, Dana Jackson, Garry P. Nolan, William James Greenleaf, Sylvia K. Plevritis, Sara Ahadi, Stephanie A. Nevins, Hayan Lee, Christian Martijn Schuerch, Sarah Black, Vishal Gautham Venkataraaman, Ed Esplin, Aaron Horning, Amir Bahmani, Xin Sun, Sanjay Jain, James S. Hagood, Gloria Pryhuber, Peter V. Kharchenko, Bernd Bodenmiller, Todd Brusko, Michael Clare-Salzler, Harry Nick, Kevin Otto, Clive Wasserfall, Marda Jorgensen, Maigan Brusko, Sergio Maffioletti, Richard M. Caprioli, Jeffrey M. Spraggins, Danielle Gutierrez, Nathan Heath Patterson, Elizabeth K. Neumann, Raymond Harris, Mark P. de Caestecker, Agnes B. Fogo, Raf Van de Plas, Ken Lau, Guo-Cheng Yuan, Qian Zhu, Ruben Dries, Peng Yin, Sinem K. Saka, Jocelyn Y. Kishi, Yu Wang, Isabel Goldaracena, Dong Hye Ye, Kristin E. Burnum-Johnson, Paul D. Piehowski, Charles Ansong, Ying Zhu, Tushar Desai, Jay Mulye, Peter Chou, Monica Nagendran, Sarah A. Teichmann, Benedict Paten, Robert F. Murphy, Jian Ma, Vladimir Yu. Kiselev, Carl Kingsford, Allyson Ricarte, Maria Keays, Sushma Anand Akoju, Matthew Ruffalo, Margaret Vella, Chuck McCallum, Leonard E. Cross, Samuel H. Friedman, Randy W. Heiland, Bruce William Herr II, Paul Macklin, Ellen M. Quardokus, Lisel Record, James P. Sluka, Griffin M. Weber, Philip D. Blood, Alexander Ropelewski, William Shirey, Robin M. Scibek, Paula M. Mabee, W. Christopher Lenhardt, Kimberly Robasky, Stavros Michailidis, John C. Marioni, Andrew Butler, Tim Stuart, Eyal Fisher, Shila Ghazanfar, Gökcen Eraslan, Tommaso Biancalani, Eeshit D. Vaishnav, Pothur Srinivas, Aaron Pawlyk, Salvatore Sechi, Elizabeth L. Wilder, James Anderson:
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nat. 574(7777): 187-192 (2019) - [j11]David A. Knowles, Gina Bouchard, Sylvia K. Plevritis:
Sparse discriminative latent characteristics for predicting cancer drug sensitivity from genomic features. PLoS Comput. Biol. 15(5) (2019) - 2014
- [j10]Benedict Anchang, Mary T. Do, Xi Zhao, Sylvia K. Plevritis:
CCAST: A Model-Based Gating Strategy to Isolate Homogeneous Subpopulations in a Heterogeneous Population of Single Cells. PLoS Comput. Biol. 10(7) (2014) - 2013
- [j9]Peng Qiu, Sylvia K. Plevritis:
TreeVis: A MATLAB-based tool for tree visualization. Comput. Methods Programs Biomed. 109(1): 74-76 (2013) - [c3]Olivier Gevaert, Sylvia K. Plevritis:
Identifying Master Regulators of Cancer and Their Downstream Targets by Integrating Genomic and Epigenomic Features. Pacific Symposium on Biocomputing 2013: 123-134 - 2012
- [j8]Michael D. Linderman, Zach Bjornson, Erin F. Simonds, Peng Qiu, Robert V. Bruggner, Ketaki Sheode, Teresa H. Meng, Sylvia K. Plevritis, Garry P. Nolan:
CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data. Bioinform. 28(18): 2400-2401 (2012) - 2011
- [j7]Peng Qiu, Andrew J. Gentles, Sylvia K. Plevritis:
Discovering Biological Progression Underlying Microarray Samples. PLoS Comput. Biol. 7(4) (2011) - [j6]Peng Qiu, Sylvia K. Plevritis:
Reconstructing Directed Signed Gene Regulatory Network From Microarray Data. IEEE Trans. Biomed. Eng. 58(12): 3518-3521 (2011) - 2010
- [j5]Peng Qiu, Andrew J. Gentles, Sylvia K. Plevritis:
Reducing the Computational Complexity of Information Theoretic Approaches for Reconstructing Gene Regulatory Networks. J. Comput. Biol. 17(2): 169-176 (2010) - [j4]Debashis Sahoo, Jun Seita, Deepta Bhattacharya, Matthew A. Inlay, Irving L. Weissman, Sylvia K. Plevritis, David L. Dill:
MiDReG: A method of mining developmentally regulated genes using Boolean implications. Proc. Natl. Acad. Sci. USA 107(13): 5732-5737 (2010)
2000 – 2009
- 2009
- [j3]Peng Qiu, Andrew J. Gentles, Sylvia K. Plevritis:
Fast calculation of pairwise mutual information for gene regulatory network reconstruction. Comput. Methods Programs Biomed. 94(2): 177-180 (2009) - [j2]Peng Qiu, Sylvia K. Plevritis:
Simultaneous Class Discovery and Classification of Microarray Data Using Spectral Analysis. J. Comput. Biol. 16(7): 935-944 (2009) - 2008
- [c2]Babak Shahbaba, Eva Prenosil, Anjali Jain, Sylvia K. Plevritis:
A modified Dirichlet process mixture model for clustering phosphopeptides based on their response to anti-cancer drug perturbation. BIOCOMP 2008: 17-22
1990 – 1999
- 1995
- [j1]Sylvia K. Plevritis, Albert Macovski:
Spectral extrapolation of spatially bounded images [MRI application]. IEEE Trans. Medical Imaging 14(3): 487-49 (1995) - 1994
- [c1]Sylvia K. Plevritis, Albert Macovski:
Alternative K-Space Sampling Distributions for MR Spectrososcopic Imaging. ICIP (3) 1994: 11-14
Coauthor Index
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