A novel metric embedding optimal normalization mechanism for clustering of series data

IEICE Transactions on Information and Systems

Volumn E91-D, Issue 9, 2008, Pages 2369-2371

  Mitsui, Shigeyuki ^a   Sakata, Katsumi ^a   Nobori, Hiroya ^a   Komatsu, Setsuko ^b  

^a MITSUBISHI SPACE SOFTWARE CO LTD   (Japan)

^b NATIONAL INSTITUTE OF CROP SCIENCE   (Japan)

Author keywords

Clustering; Gene expression; Metric; Normalization

Indexed keywords

GENES;

CLUSTERING; DATA SERIES; GENE EXPRESSION PROFILES; LOGARITHMIC SCALE; METRIC; METRIC EMBEDDINGS; NORMALIZATION; NUMBER OF DATUM;

GENE EXPRESSION;

EID: 68849125193     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1093/ietisy/e91-d.9.2369     Document Type: Article

References (5)

1. J. Han and M. Kamber, Data mining: Concepts and techniques, Morgan Kaufmann, 2000.
2. http://www.arabidopsis.org/
3. G.K. Pandey, Y.H. Cheong, K-N. Kim, J.J. Grant, L. Li, W. Hung, C. D'Angelo, S. Weinl, J. Kudla, and S. Luan, "The calcium sensor calcineurin B-like 9 modulates abscisic acid sensitivity and biosynthesis in Arabidopsis," Plant Cell, vol.16, no.7, pp.1912-1924, 2004.
4. M. Ronen, R. Rosenberg, B.I. Shraiman, and U. Alon, "Assigning numbers to the arrows: Parameterizing a gene regulation network by using accurate expression kinetics," Proc. Natl. Acad. Sci. USA, vol.99, pp.10555-10560, 2002.
5. Y. Tu, G. Stolovitzky, and U. Klein, "Quantitative noise analysis for gene expression microarray experiments," Proc. Natl. Acad. Sci. USA, vol.99, pp.14031-14036, 2002.