2011 KnowledgeDiscoveryandDataMining

• (Rejto, 2011) ⇒ Paul Rejto. (2011). “Knowledge Discovery and Data Mining in Pharmaceutical Cancer Research.” In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011). doi:10.1145/2020408.2020539

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%22Knowledge+discovery+and+data+mining+in+pharmaceutical+cancer+research%22+2011
• http://portal.acm.org/citation.cfm?doid=2020408.2020539&preflayout=flat#citedby

Quotes

Abstract

Biased and unbiased approaches to develop predictive biomarkers of response to drug treatment will be introduced and their utility demonstrated for cell cycle inhibitors. Opportunities to leverage the growing knowledge of tumors characterized by modern methods to measure DNA and RNA will be shown, including the use of appropriate preclinical models and selection of patients. Furthermore, techniques to identify mechanisms of resistance prior to clinical treatment will be discussed. Prospects for systematic data mining and current barriers to the application of precision medicine in cancer will be reviewed along with potential solutions.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 KnowledgeDiscoveryandDataMining	Paul Rejto			Knowledge Discovery and Data Mining in Pharmaceutical Cancer Research				10.1145/2020408.2020539