| Year |
Citation |
Score |
| 2023 |
Huang T, Staniak M, Veiga Leprevost FD, Figueroa-Navedo AM, Ivanov AR, Nesvizhskii AI, Choi M, Vitek O. Statistical Detection of Differentially Abundant Proteins in Experiments with Repeated Measures Designs and Isobaric Labeling. Journal of Proteome Research. 22: 2641-2659. PMID 37467362 DOI: 10.1021/acs.jproteome.3c00155 |
0.313 |
|
| 2023 |
Kohler D, Kaza M, Pasi C, Huang T, Staniak M, Mohandas D, Sabido E, Choi M, Vitek O. MSstatsShiny: A GUI for Versatile, Scalable, and Reproducible Statistical Analyses of Quantitative Proteomic Experiments. Journal of Proteome Research. PMID 36622173 DOI: 10.1021/acs.jproteome.2c00603 |
0.333 |
|
| 2022 |
Malinovska L, Cappelletti V, Kohler D, Piazza I, Tsai TH, Pepelnjak M, Stalder P, Dörig C, Sesterhenn F, Elsässer F, Kralickova L, Beaton N, Reiter L, de Souza N, Vitek O, et al. Proteome-wide structural changes measured with limited proteolysis-mass spectrometry: an advanced protocol for high-throughput applications. Nature Protocols. PMID 36526727 DOI: 10.1038/s41596-022-00771-x |
0.351 |
|
| 2022 |
Kohler D, Tsai TH, Verschueren E, Huang T, Hinkle T, Phu L, Choi M, Vitek O. MSstatsPTM: Statistical relative quantification of post-translational modifications in bottom-up mass spectrometry-based proteomics. Molecular & Cellular Proteomics : McP. 100477. PMID 36496144 DOI: 10.1016/j.mcpro.2022.100477 |
0.353 |
|
| 2020 |
Tsai TH, Choi M, Banfai B, Liu Y, MacLean BX, Dunkley T, Vitek O. Selection of Features with Consistent Profiles Improves Relative Protein Quantification in Mass Spectrometry Experiments. Molecular & Cellular Proteomics : McP. 19: 944-959. PMID 33451714 DOI: 10.1074/mcp.RA119.001792 |
0.358 |
|
| 2020 |
Huang T, Choi M, Tzouros M, Golling S, Pandya NJ, Banfai B, Dunkley T, Vitek O. MSstatsTMT: Statistical Detection of Differentially Abundant Proteins in Experiments with Isobaric Labeling and Multiple Mixtures. Molecular & Cellular Proteomics : McP. 19: 1706-1723. PMID 33451588 DOI: 10.1074/mcp.RA120.002105 |
0.354 |
|
| 2020 |
Choi M, Carver J, Chiva C, Tzouros M, Huang T, Tsai TH, Pullman B, Bernhardt OM, Hüttenhain R, Teo GC, Perez-Riverol Y, Muntel J, Müller M, Goetze S, Pavlou M, ... ... Vitek O, et al. MassIVE.quant: a community resource of quantitative mass spectrometry-based proteomics datasets. Nature Methods. PMID 32929271 DOI: 10.1038/S41592-020-0955-0 |
0.396 |
|
| 2020 |
Cerciello F, Choi M, Sinicropi-Yao SL, Lomeo K, Amann JM, Felley-Bosco E, Stahel RA, Robinson BW, Creaney J, Pass HI, Vitek O, Carbone DP. Verification of a blood based targeted proteomics signature for malignant pleural mesothelioma. Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association For Cancer Research, Cosponsored by the American Society of Preventive Oncology. PMID 32732250 DOI: 10.1158/1055-9965.Epi-20-0543 |
0.345 |
|
| 2020 |
Huang T, Choi M, Tzouros M, Golling S, Pandya NJ, Banfai B, Dunkley T, Vitek O. MSstatsTMT: Statistical detection of differentially abundant proteins in experiments with isobaric labeling and multiple mixtures. Molecular & Cellular Proteomics : McP. PMID 32680918 DOI: 10.1074/Mcp.Ra120.002105 |
0.462 |
|
| 2020 |
Guo D, Föll MC, Volkmann V, Enderle-Ammour K, Bronsert P, Schilling O, Vitek O. Deep multiple instance learning classifies subtissue locations in mass spectrometry images from tissue-level annotations. Bioinformatics (Oxford, England). 36: i300-i308. PMID 32657378 DOI: 10.1093/Bioinformatics/Btaa436 |
0.319 |
|
| 2020 |
Tsai TH, Choi M, Banfai B, Liu Y, MacLean B, Dunkley T, Vitek O. Selection of features with consistent profiles improves relative protein quantification in mass spectrometry experiments. Molecular & Cellular Proteomics : McP. PMID 32234965 DOI: 10.1074/Mcp.Ra119.001792 |
0.459 |
|
| 2019 |
Huang T, Bruderer R, Muntel J, Xuan Y, Vitek O, Reiter L. Combining Precursor and Fragment Information for Improved Detection of Differential Abundance in Data Independent Acquisition. Molecular & Cellular Proteomics : McP. PMID 31888964 DOI: 10.1074/Mcp.Ra119.001705 |
0.353 |
|
| 2019 |
Huttenhain R, Choi M, Martin de la Fuente L, Oehl K, Chang CY, Zimmermann AK, Malander S, Olsson H, Surinova S, Clough T, Heinzelmann-Schwarz V, Wild PJ, Dinulescu D, Niméus E, Vitek O, et al. A targeted mass spectrometry strategy for developing proteomic biomarkers: a case study of epithelial ovarian cancer. Molecular & Cellular Proteomics : McP. PMID 31289117 DOI: 10.1074/Mcp.Ra118.001221 |
0.695 |
|
| 2019 |
Muntel J, Kirkpatrick J, Bruderer R, Huang T, Vitek O, Ori A, Reiter L. Comparison of protein quantification in a complex background by DIA and TMT workflows with fixed instrument time. Journal of Proteome Research. PMID 30726097 DOI: 10.1021/Acs.Jproteome.8B00898 |
0.464 |
|
| 2019 |
Amodei D, Egertson J, MacLean BX, Johnson R, Merrihew GE, Keller A, Marsh D, Vitek O, Mallick P, MacCoss MJ. Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows. Journal of the American Society For Mass Spectrometry. PMID 30671891 DOI: 10.1007/S13361-018-2122-8 |
0.47 |
|
| 2019 |
Dogu E, Taheri SM, Olivella R, Marty F, Lienert I, Reiter L, Sabido E, Vitek O. MSstatsQC 2.0: R/Bioconductor Package for Statistical Quality Control of Mass Spectrometry-Based Proteomics Experiments. Journal of Proteome Research. 18: 678-686. PMID 30450913 DOI: 10.1021/Acs.Jproteome.8B00732 |
0.37 |
|
| 2019 |
Zhang X, Qi Y, Kirkali F, Huang T, Maity T, Nguyen K, Schrump D, Vitek O, Rajan A, Guha U. MA20.01 Global Quantitative Mass Spectrometry Reveals Potential Novel Actionable Targets in Thymic Epithelial Tumors (TET) Journal of Thoracic Oncology. 14: S330. DOI: 10.1016/J.Jtho.2019.08.664 |
0.302 |
|
| 2019 |
Bemis KA, Guo D, Harry AJ, Thomas M, Lanekoff I, Stenzel-Poore MP, Stevens SL, Laskin J, Vitek O. Statistical detection of differentially abundant ions in mass spectrometry-based imaging experiments with complex designs International Journal of Mass Spectrometry. 437: 49-57. DOI: 10.1016/J.Ijms.2018.07.006 |
0.392 |
|
| 2018 |
Galitzine C, Egertson J, Abbatiello SE, Henderson CM, Pino L, MacCoss MJ, Hoofnagle AN, Vitek O. Nonlinear regression improves accuracy of characterization of multiplexed mass spectrometric assays. Molecular & Cellular Proteomics : McP. PMID 29438992 DOI: 10.1074/Mcp.Ra117.000322 |
0.346 |
|
| 2017 |
Tsai TH, Hao Z, Hong Q, Moore B, Stella C, Zhang JH, Chen Y, Kim M, Koulis T, Ryslik GA, Verschueren E, Jacobson F, Haskins WE, Vitek O. Statistical characterization of therapeutic protein modifications. Scientific Reports. 7: 7896. PMID 28801661 DOI: 10.1038/S41598-017-08333-Y |
0.409 |
|
| 2017 |
Bemis KA, Vitek O. matter: an R package for rapid prototyping with larger-than-memory datasets on disk. Bioinformatics (Oxford, England). PMID 28633357 DOI: 10.1093/Bioinformatics/Btx392 |
0.314 |
|
| 2017 |
Dogu E, Mohammad-Taheri S, Abbatiello SE, Bereman MS, MacLean B, Schilling B, Vitek O. MSstatsQC: Longitudinal system suitability monitoring and quality control for targeted proteomic experiments. Molecular & Cellular Proteomics : McP. PMID 28483925 DOI: 10.1074/Mcp.M116.064774 |
0.394 |
|
| 2017 |
Abbatiello SE, Ackermann BL, Borchers CH, Bradshaw RA, Carr SA, Chalkley RJ, Choi M, Deutsch EW, Domon B, Hoofnagle AN, Keshishian H, Kuhn E, Liebler DC, MacCoss MJ, MacLean B, ... ... Vitek O, et al. New Guidelines for Publication of Manuscripts Describing Development and Application of Targeted Mass Spectrometry Measurements of Peptides and Proteins. Molecular & Cellular Proteomics : McP. PMID 28183812 DOI: 10.1074/Mcp.E117.067801 |
0.359 |
|
| 2016 |
Choi M, Eren-Dogu ZF, Colangelo CM, Cottrell JS, Hoopmann MR, Kapp EA, Kim S, Lam H, Neubert TA, Palmblad M, Phinney BS, Weintraub ST, MacLean B, Vitek O. ABRF Proteome Informatics Research Group (iPRG) 2015 Study: Detection of differentially abundant proteins in label-free quantitative LC-MS/MS experiments. Journal of Proteome Research. PMID 27990823 DOI: 10.1021/Acs.Jproteome.6B00881 |
0.432 |
|
| 2016 |
Terfve C, Sabidó E, Wu Y, Gonçalves E, Choi M, Vaga S, Vitek O, Saez-Rodriguez J, Aebersold R. System-wide quantitative proteomics of the metabolic syndrome in mice: genotypic and dietary effects. Journal of Proteome Research. PMID 27936760 DOI: 10.1021/Acs.Jproteome.6B00815 |
0.327 |
|
| 2016 |
van de Ven S, Bemis KD, Lau K, Adusumilli R, Kota U, Stolowitz M, Vitek O, Mallick P, Gambhir SS. Protein biomarkers on tissue as imaged via MALDI mass spectrometry: A systematic approach to study the limits of detection. Proteomics. PMID 26970438 DOI: 10.1002/Pmic.201500515 |
0.402 |
|
| 2016 |
Bemis KD, Harry A, Eberlin LS, Ferreira CR, van de Ven SM, Mallick P, Stolowitz M, Vitek O. Probabilistic segmentation of mass spectrometry images helps select important ions and characterize confidence in the resulting segments. Molecular & Cellular Proteomics : McP. PMID 26796117 DOI: 10.1074/Mcp.O115.053918 |
0.326 |
|
| 2016 |
Ness RO, Sachs K, Vitek O. From Correlation to Causality: Statistical Approaches to Learning Regulatory Relationships in Large-Scale Biomolecular Investigations. Journal of Proteome Research. 15: 683-90. PMID 26731284 DOI: 10.1021/Acs.Jproteome.5B00911 |
0.354 |
|
| 2015 |
Borràs E, Cantó E, Choi M, Villar LM, Álvarez-Cermeño JC, Chiva C, Montalban X, Vitek O, Comabella M, Sabidó E. Protein-based classifier to predict conversion from clinically isolated syndrome to multiple sclerosis. Molecular & Cellular Proteomics : McP. PMID 26552840 DOI: 10.1074/Mcp.M115.053256 |
0.302 |
|
| 2015 |
Surinova S, Choi M, Tao S, Schüffler PJ, Chang CY, Clough T, Vysloužil K, Khoylou M, Srovnal J, Liu Y, Matondo M, Hüttenhain R, Weisser H, Buhmann JM, Hajdúch M, ... ... Vitek O, et al. Prediction of colorectal cancer diagnosis based on circulating plasma proteins. Embo Molecular Medicine. PMID 26253081 DOI: 10.15252/Emmm.201404873 |
0.686 |
|
| 2015 |
Surinova S, Radová L, Choi M, Srovnal J, Brenner H, Vitek O, Hajdúch M, Aebersold R. Non-invasive prognostic protein biomarker signatures associated with colorectal cancer. Embo Molecular Medicine. 7: 1153-65. PMID 26253080 DOI: 10.15252/Emmm.201404874 |
0.361 |
|
| 2015 |
Palmer A, Ovchinnikova E, Thuné M, Lavigne R, Guével B, Dyatlov A, Vitek O, Pineau C, Borén M, Alexandrov T. Using collective expert judgements to evaluate quality measures of mass spectrometry images. Bioinformatics (Oxford, England). 31: i375-84. PMID 26072506 DOI: 10.1093/Bioinformatics/Btv266 |
0.305 |
|
| 2015 |
Rardin MJ, Schilling B, Cheng LY, MacLean BX, Sorenson DJ, Sahu AK, MacCoss MJ, Vitek O, Gibson BW. MS1 Peptide Ion Intensity Chromatograms in MS2 (SWATH) Data Independent Acquisitions. Improving Post Acquisition Analysis of Proteomic Experiments. Molecular & Cellular Proteomics : McP. PMID 25987414 DOI: 10.1074/Mcp.O115.048181 |
0.388 |
|
| 2015 |
Bemis KD, Harry A, Eberlin LS, Ferreira C, van de Ven SM, Mallick P, Stolowitz M, Vitek O. Cardinal: an R package for statistical analysis of mass spectrometry-based imaging experiments. Bioinformatics (Oxford, England). 31: 2418-20. PMID 25777525 DOI: 10.1093/Bioinformatics/Btv146 |
0.347 |
|
| 2015 |
Bruderer R, Bernhardt OM, Gandhi T, Miladinovi? SM, Cheng LY, Messner S, Ehrenberger T, Zanotelli V, Butscheid Y, Escher C, Vitek O, Rinner O, Reiter L. Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues. Molecular & Cellular Proteomics : McP. 14: 1400-10. PMID 25724911 DOI: 10.1074/Mcp.M114.044305 |
0.47 |
|
| 2015 |
Liu Y, Buil A, Collins BC, Gillet LC, Blum LC, Cheng LY, Vitek O, Mouritsen J, Lachance G, Spector TD, Dermitzakis ET, Aebersold R. Quantitative variability of 342 plasma proteins in a human twin population. Molecular Systems Biology. 11: 786. PMID 25652787 DOI: 10.15252/Msb.20145728 |
0.38 |
|
| 2015 |
Selevsek N, Chang CY, Gillet LC, Navarro P, Bernhardt OM, Reiter L, Cheng LY, Vitek O, Aebersold R. Reproducible and consistent quantification of the Saccharomyces cerevisiae proteome by SWATH-mass spectrometry. Molecular & Cellular Proteomics : McP. 14: 739-49. PMID 25561506 DOI: 10.1074/Mcp.M113.035550 |
0.64 |
|
| 2015 |
Bruderer R, Bernhardt OM, Gandhi T, Miladinović SM, Cheng L, Ehrenberger T, Vitek O, Rinner O, Reiter L. Extending the limits of quantitative proteome profiling with data-independent acquisition F1000research. 6. DOI: 10.7490/F1000Research.1097815.1 |
0.317 |
|
| 2015 |
Cheng L, Liu Y, Chang C, Röst H, Aebersold R, Vitek O. Statistical elimination of spectral features with large between-run variation enhances quantitative protein-level conclusions in experiments with data-independent spectral acquisition Bmc Bioinformatics. 16. DOI: 10.1186/1471-2105-16-S2-A4 |
0.567 |
|
| 2014 |
Broudy D, Killeen T, Choi M, Shulman N, Mani DR, Abbatiello SE, Mani D, Ahmad R, Sahu AK, Schilling B, Tamura K, Boss Y, Sharma V, Gibson BW, Carr SA, ... Vitek O, et al. A framework for installable external tools in Skyline. Bioinformatics (Oxford, England). 30: 2521-3. PMID 24813211 DOI: 10.1093/Bioinformatics/Btu148 |
0.368 |
|
| 2014 |
Choi M, Chang CY, Clough T, Broudy D, Killeen T, MacLean B, Vitek O. MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments. Bioinformatics (Oxford, England). 30: 2524-6. PMID 24794931 DOI: 10.1093/Bioinformatics/Btu305 |
0.704 |
|
| 2014 |
Carr SA, Abbatiello SE, Ackermann BL, Borchers C, Domon B, Deutsch EW, Grant RP, Hoofnagle AN, Hüttenhain R, Koomen JM, Liebler DC, Liu T, MacLean B, Mani DR, Mansfield E, ... ... Vitek O, et al. Targeted peptide measurements in biology and medicine: best practices for mass spectrometry-based assay development using a fit-for-purpose approach. Molecular & Cellular Proteomics : McP. 13: 907-17. PMID 24443746 DOI: 10.1074/Mcp.M113.036095 |
0.407 |
|
| 2014 |
Chang CY, Sabidó E, Aebersold R, Vitek O. Targeted protein quantification using sparse reference labeling. Nature Methods. 11: 301-4. PMID 24441934 DOI: 10.1038/Nmeth.2806 |
0.601 |
|
| 2014 |
Thaminy S, Blaser H, Clough T, Zhou Y, Snijder B, Chang C, Sheu C, Yu D, Pelkmans L, Mak T, Watts J, Vitek O, Aebersold R. Integrated-omics analysis uncovers a fundamental hypoxia-driven mechanism of breast cancer progression F1000research. 5. DOI: 10.7490/F1000Research.1096216.1 |
0.676 |
|
| 2013 |
Cerciello F, Choi M, Nicastri A, Bausch-Fluck D, Ziegler A, Vitek O, Felley-Bosco E, Stahel R, Aebersold R, Wollscheid B. Identification of a seven glycopeptide signature for malignant pleural mesothelioma in human serum by selected reaction monitoring. Clinical Proteomics. 10: 16. PMID 24207061 DOI: 10.1186/1559-0275-10-16 |
0.314 |
|
| 2013 |
Surinova S, Hüttenhain R, Chang CY, Espona L, Vitek O, Aebersold R. Automated selected reaction monitoring data analysis workflow for large-scale targeted proteomic studies. Nature Protocols. 8: 1602-19. PMID 23887179 DOI: 10.1038/Nprot.2013.091 |
0.644 |
|
| 2013 |
Sabidó E, Wu Y, Bautista L, Porstmann T, Chang CY, Vitek O, Stoffel M, Aebersold R. Targeted proteomics reveals strain-specific changes in the mouse insulin and central metabolic pathways after a sustained high-fat diet. Molecular Systems Biology. 9: 681. PMID 23860498 DOI: 10.1038/Msb.2013.36 |
0.54 |
|
| 2013 |
Yu D, Huber W, Vitek O. Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size. Bioinformatics (Oxford, England). 29: 1275-82. PMID 23589650 DOI: 10.1093/Bioinformatics/Btt143 |
0.527 |
|
| 2012 |
Clough T, Thaminy S, Ragg S, Aebersold R, Vitek O. Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs. Bmc Bioinformatics. 13: S6. PMID 23176351 DOI: 10.1186/1471-2105-13-S16-S6 |
0.656 |
|
| 2012 |
Ma K, Vitek O, Nesvizhskii AI. A statistical model-building perspective to identification of MS/MS spectra with PeptideProphet. Bmc Bioinformatics. 13: S1. PMID 23176103 DOI: 10.1186/1471-2105-13-S16-S1 |
0.384 |
|
| 2012 |
Yu D, Danku JM, Baxter I, Kim S, Vatamaniuk OK, Vitek O, Ouzzani M, Salt DE. High-resolution genome-wide scan of genes, gene-networks and cellular systems impacting the yeast ionome. Bmc Genomics. 13: 623. PMID 23151179 DOI: 10.1186/1471-2164-13-623 |
0.541 |
|
| 2012 |
Muhlemann JK, Maeda H, Chang CY, San Miguel P, Baxter I, Cooper B, Perera MA, Nikolau BJ, Vitek O, Morgan JA, Dudareva N. Developmental changes in the metabolic network of snapdragon flowers. Plos One. 7: e40381. PMID 22808147 DOI: 10.1371/Journal.Pone.0040381 |
0.511 |
|
| 2012 |
Sabidó E, Quehenberger O, Shen Q, Chang CY, Shah I, Armando AM, Andreyev A, Vitek O, Dennis EA, Aebersold R. Targeted proteomics of the eicosanoid biosynthetic pathway completes an integrated genomics-proteomics-metabolomics picture of cellular metabolism. Molecular & Cellular Proteomics : McP. 11: M111.014746. PMID 22361236 DOI: 10.1074/Mcp.M111.014746 |
0.578 |
|
| 2012 |
Ye T, Zheng C, Zhang S, Gowda GA, Vitek O, Raftery D. "Add to subtract": a simple method to remove complex background signals from the 1H nuclear magnetic resonance spectra of mixtures. Analytical Chemistry. 84: 994-1002. PMID 22221170 DOI: 10.1021/Ac202548N |
0.314 |
|
| 2012 |
Chang CY, Picotti P, Hüttenhain R, Heinzelmann-Schwarz V, Jovanovic M, Aebersold R, Vitek O. Protein significance analysis in selected reaction monitoring (SRM) measurements. Molecular & Cellular Proteomics : McP. 11: M111.014662. PMID 22190732 DOI: 10.1074/Mcp.M111.014662 |
0.631 |
|
| 2012 |
Bemis KD, Eberlin L, Ferreira C, Cooks RG, Vitek O. Spatial segmentation and feature selection for desi imaging mass spectrometry data with spatially-aware sparse clustering Bmc Bioinformatics. 13. DOI: 10.1186/1471-2105-13-S18-A8 |
0.347 |
|
| 2011 |
Käll L, Vitek O. Computational mass spectrometry-based proteomics. Plos Computational Biology. 7: e1002277. PMID 22144880 DOI: 10.1371/Journal.Pcbi.1002277 |
0.411 |
|
| 2011 |
Yu D, Danku J, Baxter I, Kim S, Vatamaniuk OK, Salt DE, Vitek O. Noise reduction in genome-wide perturbation screens using linear mixed-effect models. Bioinformatics (Oxford, England). 27: 2173-80. PMID 21685046 DOI: 10.1093/Bioinformatics/Btr359 |
0.555 |
|
| 2011 |
Clough T, Braun S, Fokin V, Ott I, Ragg S, Schadow G, Vitek O. Statistical design and analysis of label-free LC-MS proteomic experiments: a case study of coronary artery disease. Methods in Molecular Biology (Clifton, N.J.). 728: 293-319. PMID 21468957 DOI: 10.1007/978-1-61779-068-3_20 |
0.614 |
|
| 2011 |
Zheng C, Zhang S, Ragg S, Raftery D, Vitek O. Identification and quantification of metabolites in (1)H NMR spectra by Bayesian model selection. Bioinformatics (Oxford, England). 27: 1637-44. PMID 21398670 DOI: 10.1093/Bioinformatics/Btr118 |
0.321 |
|
| 2011 |
Dill AL, Eberlin LS, Costa AB, Zheng C, Ifa DR, Cheng L, Masterson TA, Koch MO, Vitek O, Cooks RG. Multivariate statistical identification of human bladder carcinomas using ambient ionization imaging mass spectrometry. Chemistry (Weinheim An Der Bergstrasse, Germany). 17: 2897-902. PMID 21284043 DOI: 10.1002/Chem.201001692 |
0.37 |
|
| 2011 |
Riter LS, Jensen PK, Ballam JM, Urbanczyk-Wochniak E, Clough T, Vitek O, Sutton J, Athanas M, Lopez MF, MacIsaac S. Evaluation of label-free quantitative proteomics in a plant matrix: A case study of the night-to-day transition in corn leaf Analytical Methods. 3: 2733-2739. DOI: 10.1039/C1Ay05473B |
0.615 |
|
| 2010 |
Baxter I, Brazelton JN, Yu D, Huang YS, Lahner B, Yakubova E, Li Y, Bergelson J, Borevitz JO, Nordborg M, Vitek O, Salt DE. A coastal cline in sodium accumulation in Arabidopsis thaliana is driven by natural variation of the sodium transporter AtHKT1;1. Plos Genetics. 6: e1001193. PMID 21085628 DOI: 10.1371/Journal.Pgen.1001193 |
0.49 |
|
| 2010 |
Dill AL, Eberlin LS, Zheng C, Costa AB, Ifa DR, Cheng L, Masterson TA, Koch MO, Vitek O, Cooks RG. Multivariate statistical differentiation of renal cell carcinomas based on lipidomic analysis by ambient ionization imaging mass spectrometry. Analytical and Bioanalytical Chemistry. 398: 2969-78. PMID 20953777 DOI: 10.1007/S00216-010-4259-6 |
0.338 |
|
| 2009 |
Zhang S, Zheng C, Lanza IR, Nair KS, Raftery D, Vitek O. Interdependence of signal processing and analysis of urine 1H NMR spectra for metabolic profiling. Analytical Chemistry. 81: 6080-8. PMID 19950923 DOI: 10.1021/Ac900424C |
0.338 |
|
| 2009 |
Clough T, Key M, Ott I, Ragg S, Schadow G, Vitek O. Protein quantification in label-free LC-MS experiments Journal of Proteome Research. 8: 5275-5284. PMID 19891509 DOI: 10.1021/Pr900610Q |
0.65 |
|
| 2009 |
Sherwood CA, Eastham A, Lee LW, Risler J, Vitek O, Martin DB. Correlation between y-type ions observed in ion trap and triple quadrupole mass spectrometers Journal of Proteome Research. 8: 4243-4251. PMID 19603825 DOI: 10.1021/Pr900298B |
0.342 |
|
| 2009 |
Vitek O. Getting started in computational mass spectrometry-based proteomics. Plos Computational Biology. 5: e1000366. PMID 19492072 DOI: 10.1371/Journal.Pcbi.1000366 |
0.446 |
|
| 2009 |
Oberg AL, Vitek O. Statistical design of quantitative mass spectrometry-based proteomic experiments. Journal of Proteome Research. 8: 2144-56. PMID 19222236 DOI: 10.1021/Pr8010099 |
0.405 |
|
| 2008 |
Letarte S, Brusniak MY, Campbell D, Eddes J, Kemp CJ, Lau H, Mueller L, Schmidt A, Shannon P, Kelly-Spratt KS, Vitek O, Zhang H, Aebersold R, Watts JD. Differential Plasma Glycoproteome of p19 Skin Cancer Mouse Model Using the Corra Label-Free LC-MS Proteomics Platform. Clinical Proteomics. 4: 105. PMID 20157627 DOI: 10.1007/S12014-008-9018-8 |
0.456 |
|
| 2008 |
Brusniak MY, Bodenmiller B, Campbell D, Cooke K, Eddes J, Garbutt A, Lau H, Letarte S, Mueller LN, Sharma V, Vitek O, Zhang N, Aebersold R, Watts JD. Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics. Bmc Bioinformatics. 9: 542. PMID 19087345 DOI: 10.1186/1471-2105-9-542 |
0.419 |
|
| 2007 |
Nesvizhskii AI, Vitek O, Aebersold R. Analysis and validation of proteomic data generated by tandem mass spectrometry. Nature Methods. 4: 787-97. PMID 17901868 DOI: 10.1038/Nmeth1088 |
0.407 |
|
| 2007 |
Mueller LN, Rinner O, Schmidt A, Letarte S, Bodenmiller B, Brusniak MY, Vitek O, Aebersold R, Müller M. SuperHirn - a novel tool for high resolution LC-MS-based peptide/protein profiling. Proteomics. 7: 3470-80. PMID 17726677 DOI: 10.1002/Pmic.200700057 |
0.404 |
|
| 2006 |
Vitek O, Bailey-Kellogg C, Craig B, Vitek J. Inferential backbone assignment for sparse data. Journal of Biomolecular Nmr. 35: 187-208. PMID 16855861 DOI: 10.1007/S10858-006-9027-8 |
0.612 |
|
| 2005 |
Vitek O, Bailey-Kellogg C, Craig B, Kuliniewicz P, Vitek J. Reconsidering complete search algorithms for protein backbone NMR assignment. Bioinformatics (Oxford, England). 21: ii230-6. PMID 16204110 DOI: 10.1093/Bioinformatics/Bti1138 |
0.569 |
|
| 2005 |
Riter LS, Vitek O, Gooding KM, Hodge BD, Julian RK. Statistical design of experiments as a tool in mass spectrometry. Journal of Mass Spectrometry : Jms. 40: 565-79. PMID 15880604 DOI: 10.1002/Jms.871 |
0.397 |
|
| 2004 |
Vitek O, Vitek J, Craig B, Bailey-Kellogg C. Model-based assignment and inference of protein backbone Nuclear Magnetic Resonances. Statistical Applications in Genetics and Molecular Biology. 3: Article6. PMID 16646822 DOI: 10.2202/1544-6115.1037 |
0.6 |
|
| 2003 |
Fleet JC, Wang L, Vitek O, Craig BA, Edenberg HJ. Gene expression profiling of Caco-2 BBe cells suggests a role for specific signaling pathways during intestinal differentiation. Physiological Genomics. 13: 57-68. PMID 12644633 DOI: 10.1152/Physiolgenomics.00152.2002 |
0.537 |
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