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Yuliya V. Karpievitch
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2020 – today
- 2022
- [j8]Alphons Gwatimba, Joseph Ho, Thomas Iosifidis, Yuliya V. Karpievitch:
Rainbow: Automated Air-Liquid Interface Cell Culture Analysis Using Deep Optical Flow. J. Open Source Softw. 7(71): 4080 (2022)
2010 – 2019
- 2019
- [j7]Akanksha Srivastava, Yuliya V. Karpievitch, Steven R. Eichten, Justin O. Borevitz, Ryan Lister:
HOME: a histogram based machine learning approach for effective identification of differentially methylated regions. BMC Bioinform. 20(1): 253:1-253:15 (2019) - 2017
- [i1]Irina Kuznetsova, Yuliya V. Karpievitch, Aleksandra Filipovska, Artur Lugmayr, Andreas Holzinger:
Review of Machine Learning Algorithms in Differential Expression Analysis. CoRR abs/1707.09837 (2017) - 2012
- [j6]Thomas Taverner, Yuliya V. Karpievitch, Ashoka D. Polpitiya, Joseph N. Brown, Alan R. Dabney, Gordon A. Anderson, Richard D. Smith:
DanteR: an extensible R-based tool for quantitative analysis of -omics data. Bioinform. 28(18): 2404-2406 (2012) - [j5]Yuliya V. Karpievitch, Alan R. Dabney, Richard D. Smith:
Normalization and missing value imputation for label-free LC-MS analysis. BMC Bioinform. 13(S-16): S5 (2012)
2000 – 2009
- 2009
- [j4]Yuliya V. Karpievitch, Jeff Stanley, Thomas Taverner, Jianhua Huang, Joshua N. Adkins, Charles Ansong, Fred Heffron, Thomas O. Metz, Wei-Jun Qian, Hyunjin Yoon, Richard D. Smith, Alan R. Dabney:
A statistical framework for protein quantitation in bottom-up MS-based proteomics. Bioinform. 25(16): 2028-2034 (2009) - [j3]Yuliya V. Karpievitch, Thomas Taverner, Joshua N. Adkins, Stephen J. Callister, Gordon A. Anderson, Richard D. Smith, Alan R. Dabney:
Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition. Bioinform. 25(19): 2573-2580 (2009) - 2007
- [j2]Yuliya V. Karpievitch, Elizabeth G. Hill, Adam J. Smolka, Jeffrey S. Morris, Kevin R. Coombes, Keith A. Baggerly, Jonas S. Almeida:
PrepMS: TOF MS data graphical preprocessing tool. Bioinform. 23(2): 264-265 (2007) - 2006
- [j1]Yuliya V. Karpievitch, Jonas S. Almeida:
mGrid: A load-balanced distributed computing environment for the remote execution of the user-defined Matlab code. BMC Bioinform. 7: 139 (2006)
Coauthor Index
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