Interactive platform for semantic gene expression analysis of Alzheimer's disease

Toshiaki Katayama, Masataka Kikuchi, Soichi Ogishima

Research output: Contribution to journalConference articlepeer-review


In the course of gene expression analysis, it is required to interpret data by referencing knowledge bases of genetics, pathways, diseases and drugs. However, because those external resources are often stored in distributed databases in various formats, it is hard for biomedical scientists to use them in combination. Semantic Web technologies are suitable for integration of those heterogeneous datasets using Resource Description Framework (RDF) and providing a faceted search interface. In this work, we report an application of semantic data integration with faceted search for interactive analysis of gene expression data of Alzheimer's disease. This framework can be easily extended for other biomedical domains.

Original languageEnglish
JournalCEUR Workshop Proceedings
Publication statusPublished - 2013
Event6th International Workshop on Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2013 - Edinburgh, United Kingdom
Duration: 2013 Dec 102013 Dec 10


  • Alzheimer's disease
  • Data integration
  • Faceted search
  • Gene expression analysis
  • Linked open data

ASJC Scopus subject areas

  • Computer Science(all)


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