BALDR: A Web-based platform for informed comparison and prioritization of biomarker candidates for type 2 diabetes mellitus.
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| Title: | BALDR: A Web-based platform for informed comparison and prioritization of biomarker candidates for type 2 diabetes mellitus. |
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| Authors: | Lundgaard AT; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark., Burdet F; Vital-IT, Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland., Siggaard T; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark., Westergaard D; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark., Vagiaki D; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark., Cantwell L; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark., Röder T; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark., Vistisen D; Clinical Epidemiological Research, Steno Diabetes Center Copenhagen, Herlev, Denmark.; Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Sparsø T; Bioinformatics and Data Mining, Global Research Technologies, Novo Nordisk A/S, Måløv, Denmark., Giordano GN; Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, Sweden., Ibberson M; Vital-IT, Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland., Banasik K; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark., Brunak S; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2023 Aug 17; Vol. 19 (8), pp. e1011403. Date of Electronic Publication: 2023 Aug 17 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1011403 |
