An introduction to cluster analysis

An Introduction to Toxicogenomics

Volumn , Issue , 2003, Pages 45-78

  Immermann, Frederick ^a   Huang, Youping ^b  

^a WYETH RESEARCH   (United States)

^b PFIZER INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 16244422558     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (14)

1. Massart, D.L. and Kaufman, L., The Interpretation of Analytical Chemical Data by the Use of Cluster Analysis, John Wiley & Sons, New York, 1983.
2. Everitt, B.S., Cluster Analysis, Third ed., Edward Arnold, London, 1993.
3. Eisen, M.B. et al., Cluster analysis and display of genome-wide expression patterns, Proc. Natl. Acad. Sci. USA, 95, 14863, 1998.
4. Hill, A.A. et al., Evaluation of normalization procedures for oligonucleotide array data based on spiked cDNA controls, Genome Biol., 2(12), research0055.1, 2001.
5. Irizzary, R.A. et al., Exploration, normalization, and summaries of high density oligonucleotide array probe level data, Biostatics (in press).
6. Amaratunga, D. and Cabrera, J., Analysis of data from DNA microchips, J. Am. Stat. Assoc., 96, 1161, 2001.
7. Yang, Y.H. et al., Normalization for cDNA microarray data: a robust, composite method addressing single and multiple slide systematic variation, Nucleic Acids Res., 30, e15, 2002.
8. Flynn, J., Hierarchical clustering and heat maps, SpotFire Array Explorer Webcast Series, http://www.spotfire.com/news_events/webcast_page.asp?id=21, 2001.
9. SAS Institute, Inc., The CLUSTER procedure, in SAS OnlineDoc® Version 8, SAS/STAT User’s Guide, SAS Institute, Inc., Cary, NC, 1999.
10. SAS Institute Inc., The FASTCLUS procedure, in SAS OnlineDoc® Version 8, SAS/STAT User’s Guide, SAS Institute, Inc., Cary, NC, 1999.
11. Tibshirani, R., Walther, G., and Hastie, T., Estimating the number of clusters in a dataset via the gap statistic, in Technical Report 208, Department of Statistics, Stanford University, 2000.
12. Yeung, K.Y., Haynor, D.R., and Ruzzo, W.L., Validating clustering for gene expression data, Bioinformatics, 17, 309, 2001.
13. Yeung, K.Y. et al., Model-based clustering and data transformations for gene expression data, Bioinformatics, 17, 977, 2001.
14. Tamayo, P. et al., Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation, Proc. Natl. Acad. Sci. USA, 96, 2907, 1999.