Olga Vitek

Molecular Biology · 2007–2015

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Olga Vitek trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. R. Aebersold

Who trusts Olga Vitek overall

  1. Fengchao Yu
  2. Hyungwon Choi
  3. Sangtae Kim
  4. Alexey I. Nesvizhskii
  5. Mikhail M. Savitski

Papers from Olga Vitek's perspective

Ordered by how strongly the researchers Olga Vitek trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A statistical model for identifying proteins by tandem mass spectrometry.
  2. Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations (Nature Methods)
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Statistical and Computational Methods for Comparative Proteomic Profiling Using Liquid Chromatography-Tandem Mass Spectrometry (Molecular & Cellular Proteomics)
  5. Parts per Million Mass Accuracy on an Orbitrap Mass Spectrometer via Lock Mass Injection into a C-trap*S (Molecular & Cellular Proteomics)
  6. mProphet: automated data processing and statistical validation for large-scale SRM experiments (Nature Methods)
  7. Computational prediction of proteotypic peptides for quantitative proteomics (Nature Biotechnology)
  8. Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis* (Molecular & Cellular Proteomics)
  9. An evaluation, comparison, and accurate benchmarking of several publicly available MS/MS search algorithms: Sensitivity and specificity analysis (Proteomics)
  10. A method for assessing the statistical significance of mass spectrometry-based protein identifications using general scoring schemes. (Analytical Chemistry)

Their papers