Combining Gene Expression Profiles and Drug Activity Patterns Analysis: A Relational Clustering Approach

The combined analysis of tissue micro array and drug response datasets has the potential of revealing valuable knowledge about various relations among gene expressions and drug activity patterns in tumor cells. However, the amount and the complexity of biological data needs appropriate data mining m...

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Veröffentlicht in:	Journal of mathematical modelling and algorithms Jg. 9; H. 3; S. 275 - 289
Hauptverfasser:	Fersini, Elisabetta, Messina, E., Archetti, F., Manfredotti, C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.09.2010 Springer Nature B.V Springer Verlag
Schlagworte:	Algorithms Cancer Cluster analysis Clustering Computer Science Data Mining and Knowledge Discovery Expected values Gene expression Investigations Management Science Mathematical analysis Mathematical Modeling and Industrial Mathematics Mathematics Mathematics and Statistics Operations Research Optimization Principal components analysis Studies NCI60 dataset analysis Relational clustering Pharmacogenomics
ISSN:	1570-1166, 2214-2487, 1572-9214, 2214-2495
Online-Zugang:	Volltext
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