OmixLitMiner 2: Guided Literature Mining for Automated Categorization of Marker Candidates in Omics Studies.

Saved in:
Bibliographic Details
Title: OmixLitMiner 2: Guided Literature Mining for Automated Categorization of Marker Candidates in Omics Studies.
Authors: Gocke A; Section Mass Spectrometry and Proteomics, University Medical Center Hamburg Eppendorf, Hamburg, Germany.; Center For Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg Eppendorf, Hamburg, Germany., Siebels B; Section Mass Spectrometry and Proteomics, University Medical Center Hamburg Eppendorf, Hamburg, Germany., Navolić J; Center For Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg Eppendorf, Hamburg, Germany., Reinbold C; Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg Eppendorf, Hamburg, Germany.; University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, University Medical Center Hamburg Eppendorf, Hamburg, Germany., Neumann JE; Center For Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg Eppendorf, Hamburg, Germany.; Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Kurtz S; Center For Bioinformatics Hamburg, MIN-Faculty, Universität Hamburg, Hamburg, Germany., Schlüter H; Section Mass Spectrometry and Proteomics, University Medical Center Hamburg Eppendorf, Hamburg, Germany.
Source: Proteomics [Proteomics] 2025 Dec; Vol. 25 (23), pp. 46-52. Date of Electronic Publication: 2025 Nov 02.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101092707 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1615-9861 (Electronic) Linking ISSN: 16159853 NLM ISO Abbreviation: Proteomics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1615-9861
DOI:10.1002/pmic.70070