Author

Gregor Urban

University of California, IrvineORCID 0000-0002-4525-2127Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:benchmark study· 1 Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Christophe N. Magnan· 1 shared David M. RockeiD· 1 shared Gianluca PollastriiD· 1 shared John T. HalloraniD· 1 shared Mirko TorrisiiD· 1 shared Pierre BaldiiD· 1 shared Pierre BaldiiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperBioinformatics

Christophe N. Magnan

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2 papers

Recent·Most cited

Deep Semi-Supervised Learning Improves Universal Peptide Identification of Shotgun Proteomics Data

John T. Halloran, Gregor Urban, David M. Rocke, Pierre Baldi

This paper demonstrates that deep semi-supervised learning improves peptide identification in shotgun proteomics by recalibrating peptide-spectrum matches more effectively than existing methods.

bioRxiv · Nov 12, 2020 · PreprintBioinformatics

Protein Profiles: Biases and Protocols

Gregor Urban, Mirko Torrisi, Christophe N. Magnan, Gianluca Pollastri, Pierre Baldi

The paper evaluates the role of evolutionary profiles in protein secondary structure prediction and introduces a new protocol to fairly compare profile-based predictors.

Computational and Structural Biotechnology Journal · Jan 1, 2020Peer-reviewedBioinformatics