Markus Brosch

Molecular Biology · 2009

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Markus Brosch trusts overall

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

  1. Lukas Käll
  2. Yoav Benjamini
  3. John D. Storey
  4. Michael J. MacCoss
  5. Y. Hochberg
  6. William Stafford Noble

Who trusts Markus Brosch overall

  1. Alexey I. Nesvizhskii

Papers from Markus Brosch's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. Semi-supervised learning for peptide identification from shotgun proteomics datasets (Nature Methods)
  3. Assigning significance to peptides identified by tandem mass spectrometry using decoy databases. (Journal of Proteome Research)
  4. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry (Nature Methods)
  5. Posterior error probabilities and false discovery rates: two sides of the same coin. (Journal of Proteome Research)
  6. Large-scale analysis of the yeast proteome by multidimensional protein identification technology (Nature Biotechnology)
  7. A training algorithm for optimal margin classifiers
  8. A method for the comprehensive proteomic analysis of membrane proteins (Nature Biotechnology)
  9. A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs (Journal of machine learning research)
  10. A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets (Molecular & Cellular Proteomics)

Their papers