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
.
Semantic subgroup discovery: Using ontologies in microarray data analysis
2009
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
A major challenge for next generation data mining systems is creative knowledge discovery from highly diverse and distributed data and knowledge sources. This paper presents an approach to information fusion and creative knowledge discovery from semantically annotated knowledge sources: by using ontology information as background knowledge for semantic subgroup discovery, rules are constructed that allow the expert to recognize gene groups that are differentially expressed in different types of
doi:10.1109/iembs.2009.5333782
pmid:19964398
fatcat:4mc4f772r5gkjj2mmhkqtdrnze