Mi Youn Kim Brusniak
Molecular Biology · 2007–2012
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 45 citations into it
- Spectroscopy — 44 citations into it
Whom Mi Youn Kim Brusniak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mi Youn Kim Brusniak overall
Papers from Mi Youn Kim Brusniak's perspective
Ordered by how strongly the researchers Mi Youn Kim Brusniak trusts endorse each paper. Same corpus, a different order for every researcher.
- Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. (Analytical Chemistry)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Spectral Probabilities and Generating Functions of Tandem Mass Spectra: a Strike Against Decoy Databases (Journal of Proteome Research)
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
- Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS (Proceedings of the National Academy of Sciences of the United States of America)
- A common open representation of mass spectrometry data and its application to proteomics research (Nature Biotechnology)
- Qscore: An algorithm for evaluating SEQUEST database search results (Journal of the American Society for Mass Spectrometry)
- The Need for Guidelines in Publication of Peptide and Protein Identification Data (Molecular & Cellular Proteomics)
- Mass spectrometry-based proteomics (Nature)
- Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS. (Analytical Chemistry)
Their papers
- mProphet: automated data processing and statistical validation for large-scale SRM experiments (2011) — 512 citations
- An assessment of software solutions for the analysis of mass spectrometry based quantitative proteomics data. (2008) — 451 citations
- A Cross-platform Toolkit for Mass Spectrometry and Proteomics (2012) — 3,664 citations
- SuperHirn – a novel tool for high resolution LC‐MS‐based peptide/protein profiling (2007) — 349 citations