Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Olga Vitek

Showing results (11-20 of 104) with videos related to

Pageof 11
Sort By:
Journal of Proteome Research|January 6, 2016
From Correlation to Causality: Statistical Approaches to Learning Regulatory Relationships in Large-Scale Biomolecular InvestigationsRobert O Ness, Karen Sachs, Olga Vitek
BMC Bioinformatics|November 27, 2012
A statistical model-building perspective to identification of MS/MS spectra with PeptideProphetKelvin Ma, Olga Vitek, Alexey I Nesvizhskii
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Model-based assignment and inference of protein backbone Nuclear Magnetic ResonancesOlga Vitek, Jan Vitek, Bruce Craig, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 22, 2018
A Bayesian Active Learning Experimental Design for Inferring Signaling NetworksRobert O Ness, Karen Sachs, Parag Mallick, et al.
Nature Methods|January 21, 2014
Targeted protein quantification using sparse reference labelingChing-Yun Chang, Eduard Sabidó, Ruedi Aebersold, et al.
Journal of Biomolecular NMR|July 21, 2006
Inferential backbone assignment for sparse dataOlga Vitek, Chris Bailey-Kellogg, Bruce Craig, et al.
Bioinformatics (Oxford, England)|March 15, 2011
Identification and quantification of metabolites in (1)H NMR spectra by Bayesian model selectionCheng Zheng, Shucha Zhang, Susanne Ragg, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissuesDan Guo, Kylie Bemis, Catherine Rawlins, et al.
BMC Bioinformatics|November 27, 2012
Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designsTimothy Clough, Safia Thaminy, Susanne Ragg, et al.
Bioinformatics (Oxford, England)|February 6, 2023
A noise-robust deep clustering of biomolecular ions improves interpretability of mass spectrometric imagesDan Guo, Melanie Christine Föll, Kylie Ariel Bemis, et al.
Pageof 11

Showing results (11-20 of 104) with videos related to

Sort By:
Pageof 11
Journal of Proteome Research|January 6, 2016
From Correlation to Causality: Statistical Approaches to Learning Regulatory Relationships in Large-Scale Biomolecular InvestigationsRobert O Ness, Karen Sachs, Olga Vitek
BMC Bioinformatics|November 27, 2012
A statistical model-building perspective to identification of MS/MS spectra with PeptideProphetKelvin Ma, Olga Vitek, Alexey I Nesvizhskii
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Model-based assignment and inference of protein backbone Nuclear Magnetic ResonancesOlga Vitek, Jan Vitek, Bruce Craig, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 22, 2018
A Bayesian Active Learning Experimental Design for Inferring Signaling NetworksRobert O Ness, Karen Sachs, Parag Mallick, et al.
Nature Methods|January 21, 2014
Targeted protein quantification using sparse reference labelingChing-Yun Chang, Eduard Sabidó, Ruedi Aebersold, et al.
Journal of Biomolecular NMR|July 21, 2006
Inferential backbone assignment for sparse dataOlga Vitek, Chris Bailey-Kellogg, Bruce Craig, et al.
Bioinformatics (Oxford, England)|March 15, 2011
Identification and quantification of metabolites in (1)H NMR spectra by Bayesian model selectionCheng Zheng, Shucha Zhang, Susanne Ragg, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissuesDan Guo, Kylie Bemis, Catherine Rawlins, et al.
BMC Bioinformatics|November 27, 2012
Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designsTimothy Clough, Safia Thaminy, Susanne Ragg, et al.
Bioinformatics (Oxford, England)|February 6, 2023
A noise-robust deep clustering of biomolecular ions improves interpretability of mass spectrometric imagesDan Guo, Melanie Christine Föll, Kylie Ariel Bemis, et al.
Pageof 11