Facultad de Informática
Centro académico
Medical University of Vienna
Viena, AustriaPublicacións en colaboración con investigadores/as de Medical University of Vienna (16)
2021
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Finding genetically-supported drug targets for Parkinson’s disease using Mendelian randomization of the druggable genome
Nature Communications, Vol. 12, Núm. 1
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Human-lineage-specific genomic elements are associated with neurodegenerative disease and APOE transcript usage
Nature Communications, Vol. 12, Núm. 1
2020
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Regulatory sites for splicing in human basal ganglia are enriched for disease-relevant information
Nature Communications, Vol. 11, Núm. 1
2019
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Mitochondria function associated genes contribute to Parkinson’s Disease risk and later age at onset
npj Parkinson's Disease, Vol. 5, Núm. 1
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Moving beyond neurons: the role of cell type-specific gene regulation in Parkinson’s disease heritability
npj Parkinson's Disease, Vol. 5, Núm. 1
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SNCA and mTOR Pathway Single Nucleotide Polymorphisms Interact to Modulate the Age at Onset of Parkinson's Disease
Movement Disorders, Vol. 34, Núm. 9, pp. 1333-1344
2018
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Frequency of loss of function variants in LRRK2 in Parkinson disease
JAMA Neurology, Vol. 75, Núm. 11, pp. 1416-1422
2016
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An ontological model for managing professional expertise
Knowledge Management Research and Practice, Vol. 14, Núm. 3, pp. 390-400
2014
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An ontology-based, mobile-optimized system for pharmacogenomic decision support at the point-of-care
PLoS ONE, Vol. 9, Núm. 5
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An update on genomic CDS, a complex ontology for pharmacogenomics and clinical decision support
CEUR Workshop Proceedings
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Exploring the Application of Deep Learning Techniques on Medical Text Corpora
Studies in Health Technology and Informatics
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Ontology patterns-based transformation of clinical information
Studies in Health Technology and Informatics
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Towards a global IT system for personalized medicine: The Medicine Safety Code initiative
Studies in Health Technology and Informatics
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Towards a global IT system for personalized medicine: The medicine safety code initiative
Studies in Health Technology and Informatics
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Using concept co-occurrences for a biomedical facts acquisition
Studies in Health Technology and Informatics
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Visualising topic networks in infection control using word vector analysis
Studies in Health Technology and Informatics