Olga Vitek

Orcid: 0000-0003-1728-1104

Affiliations:
  • Northeastern University, Boston, MA, USA


According to our database1, Olga Vitek authored at least 34 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
A noise-robust deep clustering of biomolecular ions improves interpretability of mass spectrometric images.
Bioinform., February, 2023

Optimal adjustment sets for causal query estimation in partially observed biomolecular networks.
Bioinform., 2023

2022
Effective Use of Likert Scales in Visualization Evaluations: A Systematic Review.
Comput. Graph. Forum, 2022

2021
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis.
IEEE Trans. Big Data, 2021

Do-calculus enables causal reasoning with latent variable models.
CoRR, 2021

2020
Investigating usability of MSstatsQC software.
CoRR, 2020

Deep multiple instance learning classifies subtissue locations in mass spectrometry images from tissue-level annotations.
Bioinform., 2020

2019
On the Impact of Programming Languages on Code Quality: A Reproduction Study.
ACM Trans. Program. Lang. Syst., 2019

FSE/CACM Rebuttal<sup>2</sup>: Correcting A Large-Scale Study of Programming Languages and Code Quality in GitHub.
CoRR, 2019

On the Impact of Programming Languages on Code Quality.
CoRR, 2019

Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissues.
Bioinform., 2019

Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Evaluating Pan and Zoom Timelines and Sliders.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks.
J. Comput. Biol., 2018

Statistical Inference of Peroxisome Dynamics.
Proceedings of the Research in Computational Molecular Biology, 2018

2017
matter: an R package for rapid prototyping with larger-than-memory datasets on disk.
Bioinform., 2017

2015
Computational Mass Spectrometry (Dagstuhl Seminar 15351).
Dagstuhl Reports, 2015

Statistical elimination of spectral features with large between-run variation enhances quantitative protein-level conclusions in experiments with data-independent spectral acquisition.
BMC Bioinform., 2015

Using collective expert judgements to evaluate quality measures of mass spectrometry images.
Bioinform., 2015

<i>Cardinal</i>: an R package for statistical analysis of mass spectrometry-based imaging experiments.
Bioinform., 2015

2014
MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments.
Bioinform., 2014

A framework for installable external tools in Skyline.
Bioinform., 2014

2013
Leading a Statistical Bioinformatics Lab: It's All About Finding Balance.
PLoS Comput. Biol., 2013

Computational Mass Spectrometry (Dagstuhl Seminar 13491).
Dagstuhl Reports, 2013

Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size.
Bioinform., 2013

2012
A statistical model-building perspective to identification of MS/MS spectra with PeptideProphet.
BMC Bioinform., 2012

Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs.
BMC Bioinform., 2012

Spatial segmentation and feature selection for desi imaging mass spectrometry data with spatially-aware sparse clustering.
BMC Bioinform., 2012

2011
Computational Mass Spectrometry-Based Proteomics.
PLoS Comput. Biol., 2011

Identification and quantification of metabolites in <sup>1</sup>H NMR spectra by Bayesian model selection.
Bioinform., 2011

Noise reduction in genome-wide perturbation screens using linear mixed-effect models.
Bioinform., 2011

2009
Getting Started in Computational Mass Spectrometry-Based Proteomics.
PLoS Comput. Biol., 2009

2008
Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics.
BMC Bioinform., 2008

2005
Reconsidering complete search algorithms for protein backbone NMR assignment.
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005


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