Inference Evaluation Metrics

Inference Evaluation Metrics is a systematic framework used in protein inference studies to assess the accuracy, precision, and reliability of inferred protein identifications by differentiating correct from ambiguous or redundant protein-to-spectrum assignments based on computational and statistical criteria.

6

Publications

233

Citations

31

Authors

23

Institutions

Publications per year

2017–2026

3

Authors

31

  1. JL
    Janos L. Grantner

    Western Michigan University, United States

    1 publications · 13 citations

    1

    h-index

  2. JP
    Julianus Pfeuffer

    University of Tübingen, Germany

    1 publications · 78 citations

    1

    h-index

  3. CT
    Chiping Tang

    Michigan State University, United States

    1 publications · 45 citations

    1

    h-index

  4. YZ
    Yang Zhang

    University of Michigan, United States

    1 publications · 19 citations

    1

    h-index

  5. MC
    Manfred Claassen

    ETH Zurich, Switzerland

    1 publications · 29 citations

    1

    h-index

1–5 of 31

Venues

  1. Journal of Proteomics

    1 publications · 78 citations

    1

    h-index

  2. Molecular & Cellular Proteomics

    MCP · 1 publications · 29 citations

    1

    h-index

  3. Scientific Reports

    1 publications · 11 citations

1–3