19982020

Research output per year

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Personal profile

Research interests

Dr. Michel Dumontier is a Distinguished Professor of Data Science at Maastricht University. His research focuses on the development of computational methods for scalable integration and reproducible analysis of FAIR (Findable, Accessible, Interoperable and Reusable) data across scales - from molecules, tissues, organs, individuals, populations to the environment. His group combines semantic web technologies with effective indexing, machine learning and network analysis for drug discovery and personalized medicine. 

Keywords

  • B Philosophy (General)
  • ontology
  • Q Science (General)
  • bioinformatics
  • computational biology
  • semantic web
  • linked data
  • biology
  • molecular biology
  • information
  • databases
  • knowledge representation
  • big data
  • machine learning
  • data mining
  • knowledge discovery

Research Output

The case for a linked data research engine for legal scholars

Moodley, K., Hernández Serrano, P., Zaveri, A., Schaper, M., Dumontier, M. & van Dijck, G., Mar 2020, In : European Journal of Risk Regulation. 11, 1, p. 70-93 24 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

3In-silico Prediction of Synergistic Anti-Cancer Drug Combinations Using Multi-omics Data

Celebi, R., Walk, O. B. D., Movva, R., Alpsoy, S. & Dumontier, M., 20 Jun 2019, In : Scientific Reports. 9, 10 p., 8949.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario

Sun, C., Ippel, L., van Soest, J., Wouters, B., Malic, A., Adekunle, O., van den Berg, B., Mussmann, O., Koster, A., van der Kallen, C., van Oppen, C., Townend, D., Dekker, A. & Dumontier, M., 21 Aug 2019, In : Studies in health technology and informatics. 264, p. 373-377 5 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

AstraZeneca-Sanger Drug Combinatio, 17 Jun 2019, In : Nature Communications. 10, 17 p., 2674.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures

Sang, S., Yang, Z., Liu, X., Wang, L., Lin, H., Wang, J. & Dumontier, M., 2019, In : IEEE Access. 7, p. 8404-8415 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Press / Media