Matthew The

Journal of the American Society for Mass Spectrometry · 2016

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Matthew The trusts overall

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

  1. Lukas Käll
  2. Mikhail M. Savitski
  3. Steven A. Carr
  4. R. Aebersold
  5. Mathias Wilhelm

Papers from Matthew The's perspective

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

  1. The Need for Guidelines in Publication of Peptide and Protein Identification Data (Molecular & Cellular Proteomics)
  2. A draft map of the human proteome (Nature)
  3. A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets (Molecular & Cellular Proteomics)
  4. Semi-supervised learning for peptide identification from shotgun proteomics datasets (Nature Methods)
  5. Statistical Methods for Research Workers
  6. MS1, MS2, and SQT-three unified, compact, and easily parsed file formats for the storage of shotgun proteomic spectra and identifications. (Rapid Communications in Mass Spectrometry)
  7. Large-scale analysis of the yeast proteome by multidimensional protein identification technology (Nature Biotechnology)
  8. A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics (Journal of Proteomics)
  9. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry (Nature Methods)
  10. Analysis and validation of proteomic data generated by tandem mass spectrometry (Nature Methods)

Their papers