References
- M. Eisen, P.T. Spellman, P.O. Brown, et al., Cluster analysis and display of genome-wide expression patterns, Proc. Natl. Acad. Sci. USA 9S (1998) 14863-14868
- P. Tamayo, D. Slonim, J. Mesirov, et al., Interpreting patters of gene expression with self-organizing maps - methods and application to hematopoietic differentiation, Proc. Natl. Acad. Sci. USA 96 (1999) 2907-2912 https://doi.org/10.1073/pnas.96.6.2907
- S. Tavazoie, J.D. Hughes, M.J. Campbell, et al., Systematic determination of genetic network architecture, Nat. Genet. 22 (1999) 281-285 https://doi.org/10.1038/10343
- Y. Xu, V. Olman, D. Xu, Clustering gene expression data using a graph-theoretic approach - an application of minimum spanning trees, Bioinformatics 17 (2001) 309-318 https://doi.org/10.1093/bioinformatics/17.4.309
- R. Steuer, J. Kurths, C.O. Daub, et al., The mutual information: Detecting and evaluating dependencies between variables, Bioinformatics 18 (2002) 8231-8240
- D. Dembele, P. Kastner, Fuzzy c-means method for clustering microarray data, Bioinformatics 19 (2003) 973-980 https://doi.org/10.1093/bioinformatics/btg119
- I.S. Dhilon, E.M. Marcotte, U. Roshan, Diametrical clustering for identifying anti-correlated gene clusters, Bioinformatics 19 (2003) 1612-1619 https://doi.org/10.1093/bioinformatics/btg209
- D. Hom, I.Axel, Novel clustering algorithm for microarray expression data in a truncated SVD space, Bioinforrnatics 19 (2003) 1110-1115 https://doi.org/10.1093/bioinformatics/btg053
- S. Dudoit, J. Fridlyand, Bagging to improve the accuracy of a clustering procedure. Bioinformatics 19 (2003) 1090-1099 https://doi.org/10.1093/bioinformatics/btg038
- R. Sharan, A. Maron-Katz, R. Shamir, CLICK and EXPANDER: a system for clustering and visualizing gene expression data, Bioinformatics 19 (2003) 1787-1799 https://doi.org/10.1093/bioinformatics/btg232
- O. Troyanskaya, M. Cantor, G. Sherlock, et al., Missing value estimation methods for DNA microarrays, Bioinformatics 17 (2001) 520-525 https://doi.org/10.1093/bioinformatics/17.6.520
- T.H. Bo, B. Dysvik, I. Jonassen, LSimpute: accurate estimation of missing values in microarray data with least square methods, Nucleic Acids Research 32 (2004) e34 https://doi.org/10.1093/nar/gnh026
- M. Ouyang, W.J. Welsh, P. Georgopoulos, Guassian mixture clustering and imputation of microarray data, Bioinformatics 20 (2004) 917-923 https://doi.org/10.1093/bioinformatics/bth007
- A.A. Aiizadeh, M.B. Eisen, R.E. David et al., Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling, Nature 403 (2000) 503-511 https://doi.org/10.1038/35000501
- M.E. Fuschik, Methods for Knowledge Discovery in Microarray Data, Ph.D. Thesis, University of Otago (2003)
- R.J. Hathaway, J.C. Bezdek, Fuzzy c-means clustering of incomplete data, IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 31 (2001) 735-744 https://doi.org/10.1109/3477.956035
- S. Chu, J. DeRish, M. Eisen, et al., The transcriptional program of sporulation in budding yeast, Science 282 (1998) 699-705 https://doi.org/10.1126/science.282.5389.699
- R.J.Cho, M.J. Campbell, E.A. Winzeler, et al., A genome-wide transcriptional analysis of the mitotic cell cycle, Mol. Cell 2 (1998) 65-73 https://doi.org/10.1016/S1097-2765(00)80114-8
- F.D. Gibbons, F.P. Roth, Judging the quality of gene expression-based clustering methods using gene annotation, Genome Res. 12 (2002) 1574-1581 https://doi.org/10.1101/gr.397002
- M. Ashburner, C.A. Ball, J.A. Blake, et al., Gene Ontology: tool for the unification of biology, Nat. Genet. 25 (2000) 25-29 https://doi.org/10.1038/75556
- L. Issel-Tarver, KR. Christie, K Dolinski, et al., Saccharomyces genome database. Methods Enzymol 350 (2002) 329-346
- K. Yeung, D.R. Haynor, W.L. Ruzzo, Validating clustering for gene expression data, Bioinformatics 17 (2001) 309-318 https://doi.org/10.1093/bioinformatics/17.4.309