A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data
[chapter]
2012
Lecture Notes in Computer Science
Preserved Fulltext
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
doi:10.1007/978-3-642-32395-9_9
fatcat:wykc34mkcncwxc3vqj3fbnmvru