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).
Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data / M., Ceci; F., Fumarola; P. H., Guzzi; Mandreoli, Federica; Martoglia, Riccardo; E., Masciari; W., Penzo. - STAMPA. - LNCS 7451:(2012), pp. 109-123. (Intervento presentato al convegno 3rd International Conference on Information Technology in Bio- and Medical Informatics tenutosi a Vienna, Austria nel September 2012) [10.1007/978-3-642-32395-9_9].
Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data
MANDREOLI, Federica;MARTOGLIA, Riccardo;
2012
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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