Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Erik M. Van Mulligen"'
Autor:
Victor Pera, Guy G. Brusselle, Sebastian Riemann, Jan A. Kors, Erik M. Van Mulligen, Rowan Parry, Marcel de Wilde, Peter R. Rijnbeek, Katia M. C. Verhamme
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Introduction: Monoclonal antibodies (mAbs) targeting immunoglobulin E (IgE) [omalizumab], type 2 (T2) cytokine interleukin (IL) 5 [mepolizumab, reslizumab], IL-4 Receptor (R) α [dupilumab], and IL-5R [benralizumab]), improve quality of life in patie
Externí odkaz:
https://doaj.org/article/1f84097b9338465da3a155779d57179e
Publikováno v:
Journal of Biomedical Semantics, Vol 11, Iss 1, Pp 1-11 (2020)
Abstract Background Knowledge graphs can represent the contents of biomedical literature and databases as subject-predicate-object triples, thereby enabling comprehensive analyses that identify e.g. relationships between diseases. Some diseases are o
Externí odkaz:
https://doaj.org/article/a8f13915053546b5b20c6827ab2d876e
Publikováno v:
PLoS ONE, Vol 17, Iss 7 (2022)
Genome-wide association studies (GWAS) have identified many single nucleotide polymorphisms (SNPs) that play important roles in the genetic heritability of traits and diseases. With most of these SNPs located on the non-coding part of the genome, it
Externí odkaz:
https://doaj.org/article/25b6df946f85487a99c1bc18ef187f07
Publikováno v:
Journal of Biomedical Semantics, Vol 9, Iss 1, Pp 1-10 (2018)
Abstract Background Biomedical knowledge graphs have become important tools to computationally analyse the comprehensive body of biomedical knowledge. They represent knowledge as subject-predicate-object triples, in which the predicate indicates the
Externí odkaz:
https://doaj.org/article/2e8e6e8eef204dd1a4a834b4091c4343
Autor:
Gurnoor Singh, Arnold Kuzniar, Erik M. van Mulligen, Anand Gavai, Christian W. Bachem, Richard G.F. Visser, Richard Finkers
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-11 (2018)
Abstract Background A quantitative trait locus (QTL) is a genomic region that correlates with a phenotype. Most of the experimental information about QTL mapping studies is described in tables of scientific publications. Traditional text mining techn
Externí odkaz:
https://doaj.org/article/08660970d0c74c01ab48095de44f01d1
Autor:
Mark D. Wilkinson, Ruben Verborgh, Luiz Olavo Bonino da Silva Santos, Tim Clark, Morris A. Swertz, Fleur D.L. Kelpin, Alasdair J.G. Gray, Erik A. Schultes, Erik M. van Mulligen, Paolo Ciccarese, Arnold Kuzniar, Anand Gavai, Mark Thompson, Rajaram Kaliyaperumal, Jerven T. Bolleman, Michel Dumontier
Publikováno v:
PeerJ Computer Science, Vol 3, p e110 (2017)
Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (su
Externí odkaz:
https://doaj.org/article/ee78a91049e64dfb8d3a0356fa5a85c5
Publikováno v:
Journal of Biomedical Semantics, 13(1):24. BioMed Central Ltd.
Background Vaccine information in European electronic health record (EHR) databases is represented using various clinical and database-specific coding systems and drug vocabularies. The lack of harmonization constitutes a challenge in reusing EHR dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbbcea0eeb79917c1f0c62cf857ecfbb
https://pure.eur.nl/en/publications/2c5d3f2c-18ec-416c-8494-d4b3a0fa5c6f
https://pure.eur.nl/en/publications/2c5d3f2c-18ec-416c-8494-d4b3a0fa5c6f
Autor:
Francois Pognan, Phil Drew, Nicolas Bosc, Tima Camara, Jan A. Kors, Katharine Briggs, Sirarat Sarntivijai, Manuel Pastor, William C Drewe, Thomas Steger-Hartmann, Erik M. van Mulligen, Carlos Díaz, Jordi Quintana
Publikováno v:
Altex, 38(2), 187-197. Springer International Publishing AG
ALTEX
ALTEX
Pre-competitive data sharing can offer the pharmaceutical industry significant benefits in terms of reducing the time and costs involved in getting a new drug to market through more informed testing strategies and knowledge gained by pooling data. If
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e61c505267ac8b6fa0b42d47100c81a2
https://pure.eur.nl/en/publications/4b47b5e2-cf7d-45f0-830a-ba1cdcccfc95
https://pure.eur.nl/en/publications/4b47b5e2-cf7d-45f0-830a-ba1cdcccfc95
Publikováno v:
Journal of biomedical semantics, 11(1):9. BioMed Central Ltd
Journal of Biomedical Semantics
Journal of Biomedical Semantics, Vol 11, Iss 1, Pp 1-11 (2020)
Journal of Biomedical Semantics, 11(1):9. BioMed Central Ltd.
Journal of Biomedical Semantics
Journal of Biomedical Semantics, Vol 11, Iss 1, Pp 1-11 (2020)
Journal of Biomedical Semantics, 11(1):9. BioMed Central Ltd.
Background Knowledge graphs can represent the contents of biomedical literature and databases as subject-predicate-object triples, thereby enabling comprehensive analyses that identify e.g. relationships between diseases. Some diseases are often diag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d6f00a7b77621e0d277bdabbafe7ec8
https://doi.org/10.1186/s13326-020-00228-8
https://doi.org/10.1186/s13326-020-00228-8
Autor:
Erik M. van Mulligen, Jan A. Kors, Erik Anthony Schultes, Floris Wiesman, Ronald Zielman, Robin M. van Dongen, Wytze J. Vlietstra, Rein Vos
Publikováno v:
Journal of Biomedical Informatics, 71, 178-189. Elsevier Science
Journal of Biomedical Informatics, 71, 178-189. Academic Press
Journal of Biomedical Informatics, 71, 178-189. Academic Press
Problem: Biomedical literature and databases contain important clues for the identification of potential disease biomarkers. However, searching these enormous knowledge reservoirs and integrating findings across heterogeneous sources is costly and di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65c70ee68d5edab53ff60ae7f6d3dbd1
https://doi.org/10.1016/j.jbi.2017.05.018
https://doi.org/10.1016/j.jbi.2017.05.018