Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data

  • Michelangelo Ceci
  • Fabio Fumarola
  • Pietro Hiram Guzzi
  • Federica Mandreoli
  • Riccardo Martoglia
  • Elio Masciari
  • Massimo Mecella
  • Wilma Penzo
Conference paper

DOI: 10.1007/978-3-642-32395-9_9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7451)
Cite this paper as:
Ceci M. et al. (2012) Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data. In: Böhm C., Khuri S., Lhotská L., Renda M.E. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2012. Lecture Notes in Computer Science, vol 7451. Springer, Berlin, Heidelberg

Abstract

Over the last decade, the advances in the high-throughput omic technologies have given the possibility to profile tumor cells at different levels, fostering the discovery of new biological data and the proliferation of a large number of bio-technological databases. In this paper we describe a framework for enabling the interoperability among different biological data sources and for ultimately supporting expert users in the complex process of extraction, navigation and visualization of the precious knowledge hidden in such a huge quantity of data. The system will be used in a pilot study on the Multiple Myeloma (MM).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Michelangelo Ceci
    • 4
  • Fabio Fumarola
    • 4
  • Pietro Hiram Guzzi
    • 3
  • Federica Mandreoli
    • 6
  • Riccardo Martoglia
    • 6
  • Elio Masciari
    • 1
  • Massimo Mecella
    • 2
  • Wilma Penzo
    • 5
  1. 1.ICAR-CNRItaly
  2. 2.La Sapienza UniversityItaly
  3. 3.Magna Graecia UniversityItaly
  4. 4.University of BariItaly
  5. 5.DEISUniversity of BolognaItaly
  6. 6.DIIUniversity of Modena and Reggio EmiliaItaly

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