Koina: Democratizing machine learning for proteomics research.

Saved in:
Bibliographic Details
Title: Koina: Democratizing machine learning for proteomics research.
Authors: Lautenbacher L; Computational Mass Spectrometry, Technical University of Munich (TUM), Freising, Germany., Yang KL; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Kockmann T; Functional Genomics Center Zurich (FGCZ) - University of Zurich | ETH Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland., Panse C; Functional Genomics Center Zurich (FGCZ) - University of Zurich | ETH Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.; Swiss Institute of Bioinformatics (SIB), Quartier Sorge - Batiment Amphipole, CH-1015 Lausanne, Switzerland., Chambers M; Department of Genome Sciences, University of Washington, Seattle, WA 98195., Kahl E; Computational Mass Spectrometry, Technical University of Munich (TUM), Freising, Germany., Yu F; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Gabriel W; Computational Mass Spectrometry, Technical University of Munich (TUM), Freising, Germany., Bold D; Computational Mass Spectrometry, Technical University of Munich (TUM), Freising, Germany., Schmidt T; MSAID GmbH, Garching, Germany., Li K; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., MacLean B; Department of Genome Sciences, University of Washington, Seattle, WA 98195., Nesvizhskii AI; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.; Department of Pathology, University of Michigan, Ann Arbor, MI, USA., Wilhelm M; Computational Mass Spectrometry, Technical University of Munich (TUM), Freising, Germany.; Munich Data Science Institute, Technical University of Munich, 85748, Garching, Germany.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2024 Jun 03. Date of Electronic Publication: 2024 Jun 03.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2024.06.01.596953