HarmonizR enables data harmonization across independent proteomic datasets with appropriate handling of missing values.

Saved in:
Bibliographic Details
Title: HarmonizR enables data harmonization across independent proteomic datasets with appropriate handling of missing values.
Authors: Voß H; Section Mass Spectrometry and Proteomics, Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany., Schlumbohm S; High Performance Computing, Helmut Schmidt University, Hamburg, Germany.; Research Group Molecular Pathology in Neurooncology, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Barwikowski P; Section Mass Spectrometry and Proteomics, Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany., Wurlitzer M; Business division for Information Technology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Dottermusch M; Research Group Molecular Pathology in Neurooncology, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Neumann P; High Performance Computing, Helmut Schmidt University, Hamburg, Germany., Schlüter H; Section Mass Spectrometry and Proteomics, Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany., Neumann JE; Research Group Molecular Pathology in Neurooncology, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany. ju.neumann@uke.de.; Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. ju.neumann@uke.de., Krisp C; Section Mass Spectrometry and Proteomics, Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany. christoph.krisp.uke@gmail.com.
Source: Nature communications [Nat Commun] 2022 Jun 20; Vol. 13 (1), pp. 3523. Date of Electronic Publication: 2022 Jun 20.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2041-1723
DOI:10.1038/s41467-022-31007-x