Olga Vitek

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 19

Top Topics

Statistical Inference

Mass Spectrometry

Unsupervised Segmentation

Top Venues

J. Comput. Biol.

Publications

Dan Guo, Melanie Christine Föll, Kylie A. Bemis, Olga Vitek
A noise-robust deep clustering of biomolecular ions improves interpretability of mass spectrometric images. Bioinform. 39 (2) (2023)
Sara Mohammad Taheri, Vartika Tewari, Rohan Kapre, Ehsan Rahiminasab, Karen Sachs, Charles Tapley Hoyt, Jeremy Zucker, Olga Vitek
Optimal adjustment sets for causal query estimation in partially observed biomolecular networks. Bioinform. 39 (Supplement-1) (2023)
Laura South, David Saffo, Olga Vitek, Cody Dunne, Michelle A. Borkin
Effective Use of Likert Scales in Visualization Evaluations: A Systematic Review. Comput. Graph. Forum 41 (3) (2022)
Jeremy Zucker, Kaushal Paneri, Sara Mohammad Taheri, Somya Bhargava, Pallavi Kolambkar, Craig Bakker, Jeremy Teuton, Charles Tapley Hoyt, Kristie Oxford, Robert Osazuwa Ness, Olga Vitek
Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis. CoRR (2021)
Sara Mohammad Taheri, Robert Osazuwa Ness, Jeremy Zucker, Olga Vitek
Do-calculus enables causal reasoning with latent variable models. CoRR (2021)
Jeremy Zucker, Kaushal Paneri, Sara Mohammad Taheri, Somya Bhargava, Pallavi Kolambkar, Craig Bakker, Jeremy Teuton, Charles Tapley Hoyt, Kristie Oxford, Robert Osazuwa Ness, Olga Vitek
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis. IEEE Trans. Big Data 7 (1) (2021)
Sara Mohammad Taheri, Omkar Terse, Eralp Dogu, Magy Seif El-Nasr, Olga Vitek
Investigating usability of MSstatsQC software. CoRR (2020)
Dan Guo, Melanie Christine Föll, Veronika Volkmann, Kathrin Enderle-Ammour, Peter Bronsert, Oliver Schilling, Olga Vitek
Deep multiple instance learning classifies subtissue locations in mass spectrometry images from tissue-level annotations. Bioinform. 36 (Supplement-1) (2020)
Emery D. Berger, Celeste Hollenbeck, Petr Maj, Olga Vitek, Jan Vitek
On the Impact of Programming Languages on Code Quality. CoRR (2019)
Emery D. Berger, Petr Maj, Olga Vitek, Jan Vitek
: Correcting A Large-Scale Study of Programming Languages and Code Quality in GitHub. CoRR (2019)
Emery D. Berger, Celeste Hollenbeck, Petr Maj, Olga Vitek, Jan Vitek
On the Impact of Programming Languages on Code Quality: A Reproduction Study. ACM Trans. Program. Lang. Syst. 41 (4) (2019)
Dan Guo, Kylie A. Bemis, Catherine Rawlins, Jeffrey Agar, Olga Vitek
Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissues. Bioinform. 35 (14) (2019)
Michail Schwab, Sicheng Hao, Olga Vitek, James Tompkin, Jeff Huang, Michelle A. Borkin
Evaluating Pan and Zoom Timelines and Sliders. CHI (2019)
Robert Osazuwa Ness, Kaushal Paneri, Olga Vitek
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems. NeurIPS (2019)
Robert Osazuwa Ness, Kaushal Paneri, Olga Vitek
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems. CoRR (2019)
Cyril Galitzine, Pierre M. Jean Beltran, Ileana M. Cristea, Olga Vitek
Statistical Inference of Peroxisome Dynamics. RECOMB (2018)
Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. J. Comput. Biol. 25 (7) (2018)
Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. RECOMB (2017)
Kylie A. Bemis, Olga Vitek
matter: an R package for rapid prototyping with larger-than-memory datasets on disk. Bioinform. 33 (19) (2017)
Lin-Yang Cheng, Yansheng Liu, Ching-Yun Chang, Hannes L. Röst, Ruedi Aebersold, Olga Vitek
Statistical elimination of spectral features with large between-run variation enhances quantitative protein-level conclusions in experiments with data-independent spectral acquisition. BMC Bioinform. 16 (S-2) (2015)
Rudolf Aebersold, Oliver Kohlbacher, Olga Vitek
Computational Mass Spectrometry (Dagstuhl Seminar 15351). Dagstuhl Reports 5 (8) (2015)
Andrew Palmer, Ekaterina Ovchinnikova, Mikael Thuné, Régis Lavigne, Blandine Guével, Andrey Dyatlov, Olga Vitek, Charles Pineau, Mats Borén, Theodore Alexandrov
Using collective expert judgements to evaluate quality measures of mass spectrometry images. Bioinform. 31 (12) (2015)
Kyle D. Bemis, April Harry, Livia S. Eberlin, Christina Ferreira, Stephanie M. van de Ven, Parag Mallick, Mark L. Stolowitz, Olga Vitek
: an R package for statistical analysis of mass spectrometry-based imaging experiments. Bioinform. 31 (14) (2015)
Meena Choi, Ching-Yun Chang, Timothy Clough, Daniel Broudy, Trevor Killeen, Brendan MacLean, Olga Vitek
MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments. Bioinform. 30 (17) (2014)
Daniel Broudy, Trevor Killeen, Meena Choi, Nicholas Shulman, Deepak R. Mani, Susan E. Abbatiello, Deepak Mani, Rushdy Ahmad, Alexandria K. Sahu, Birgit Schilling, Kaipo Tamura, Yuval Boss, Vagisha Sharma, Bradford W. Gibson, Steven A. Carr, Olga Vitek, Michael J. MacCoss, Brendan MacLean
A framework for installable external tools in Skyline. Bioinform. 30 (17) (2014)
Olga Vitek
Leading a Statistical Bioinformatics Lab: It's All About Finding Balance. PLoS Comput. Biol. 9 (11) (2013)
Danni Yu, Wolfgang Huber, Olga Vitek
Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size. Bioinform. 29 (10) (2013)
Ruedi Aebersold, Oliver Kohlbacher, Olga Vitek
Computational Mass Spectrometry (Dagstuhl Seminar 13491). Dagstuhl Reports 3 (12) (2013)
Kelvin Ma, Olga Vitek, Alexey I. Nesvizhskii
A statistical model-building perspective to identification of MS/MS spectra with PeptideProphet. BMC Bioinform. 13 (S-16) (2012)
Kyle D. Bemis, Livia Eberlin, Christina Ferreira, R. Cooks, Olga Vitek
Spatial segmentation and feature selection for desi imaging mass spectrometry data with spatially-aware sparse clustering. BMC Bioinform. 13 (S-18) (2012)
Timothy Clough, Safia Thaminy, Susanne Ragg, Ruedi Aebersold, Olga Vitek
Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs. BMC Bioinform. 13 (S-16) (2012)
Danni Yu, John Danku, Ivan Baxter, Sungjin Kim, Olena K. Vatamaniuk, David E. Salt, Olga Vitek
Noise reduction in genome-wide perturbation screens using linear mixed-effect models. Bioinform. 27 (16) (2011)
Cheng Zheng, Shucha Zhang, Susanne Ragg, Daniel Raftery, Olga Vitek
H NMR spectra by Bayesian model selection. Bioinform. 27 (12) (2011)
Lukas Käll, Olga Vitek
Computational Mass Spectrometry-Based Proteomics. PLoS Comput. Biol. 7 (12) (2011)
Olga Vitek
Getting Started in Computational Mass Spectrometry-Based Proteomics. PLoS Comput. Biol. 5 (5) (2009)
Mi-Youn K. Brusniak, Bernd Bodenmiller, David S. Campbell, Kelly Cooke, James Eddes, Andrew Garbutt, Hollis Lau, Simon Letarte, Lukas N. Mueller, Vagisha Sharma, Olga Vitek, Ning Zhang, Ruedi Aebersold, Julian D. Watts
Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics. BMC Bioinform. 9 (2008)
Olga Vitek, Chris Bailey-Kellogg, Bruce A. Craig, Paul Kuliniewicz, Jan Vitek
Reconsidering complete search algorithms for protein backbone NMR assignment. ECCB/JBI (2005)