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Publication

The age of data-driven proteomics : how machine learning enables novel workflows

Journal Contribution - Journal Article

Journal: PROTEOMICS

ISSN: 1615-9861

Issue: 21-22

Volume: 20

Publication year:2020

Handle: http://hdl.handle.net/1854/LU-8656489
WoS Id: 000542605600001
DOI: https://doi.org/10.1002/pmic.201900351
VABB Id: c:vabb:498121

Accessibility:Closed

See also: The Age of Data-Driven Proteomics: How Machine Learning Enables Novel Workflows.