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
Parents
6
Generic Comparison of Protein Inference Engines
Manfred Claassen, Lukas Reiter, Michael O. Hengartner et al. · Molecular & Cellular Proteomics · 2011 · 29 citations · Full text
Dissecting Privacy Risks in Biomedical Data
Pascal Berrang, Mathias Humbert, Yang Zhang et al. · 2018 · 19 citations · Full text
Health Professions, Biomedical Informatics, Biomedical Sciences +17
1–5 of 6
31
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 31
23
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
19 citations

European Bioinformatics Institute
Cambridge, United Kingdom
1 h-index
2 publications
156 citations
Freie Universität Berlin
Berlin, Germany
1 h-index
3 publications
234 citations
Wellcome Trust
London, United Kingdom
1 h-index
2 publications
156 citations

University of Tübingen
Tübingen, Germany
1 h-index
3 publications
234 citations

Helmholtz Centre for Environmental Research
Leipzig, Germany
1 h-index
1 publications
19 citations
Western Michigan University
Kalamazoo, United States
1 h-index
4 publications
52 citations
Helmholtz Center for Information Security
Saarbrücken, Germany
1 h-index
3 publications
57 citations
1–8 of 23
1 publications · 78 citations
1
h-index
MCP · 1 publications · 29 citations
1
h-index
1 publications · 11 citations
1–3