On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples

[1]  David M. Rocke,et al.  Approximate Variance-stabilizing Transformations for Gene-expression Microarray Data , 2003, Bioinform..

[2]  A. Poustka,et al.  Parameter estimation for the calibration and variance stabilization of microarray data , 2003, Statistical applications in genetics and molecular biology.

[3]  Rafael A Irizarry,et al.  Exploration, normalization, and summaries of high density oligonucleotide array probe level data. , 2003, Biostatistics.

[4]  Sandrine Dudoit,et al.  Classification in microarray experiments , 2003 .

[5]  D. Edwards,et al.  Statistical Analysis of Gene Expression Microarray Data , 2003 .

[6]  Geoffrey J. McLachlan,et al.  Modelling high-dimensional data by mixtures of factor analyzers , 2003, Comput. Stat. Data Anal..

[7]  S. Dudoit,et al.  A prediction-based resampling method for estimating the number of clusters in a dataset , 2002, Genome Biology.

[8]  Geoffrey J. McLachlan,et al.  A mixture model-based approach to the clustering of microarray expression data , 2002, Bioinform..

[9]  Mark J. van der Laan,et al.  Statistical inference for simultaneous clustering of gene expression data. , 2002, Mathematical biosciences.

[10]  David B. Allison,et al.  A mixture model approach for the analysis of microarray gene expression data , 2002 .

[11]  Debashis Ghosh,et al.  Mixture modelling of gene expression data from microarray experiments , 2002, Bioinform..

[12]  E. Lander,et al.  Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Adrian E. Raftery,et al.  Model-based clustering and data transformations for gene expression data , 2001, Bioinform..

[14]  Richard M. Karp,et al.  CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts , 2001, ISMB.

[15]  G. McLachlan,et al.  Finite Mixture Models , 2000, Wiley Series in Probability and Statistics.

[16]  Geoffrey J. McLachlan,et al.  Robust mixture modelling using the t distribution , 2000, Stat. Comput..

[17]  Ash A. Alizadeh,et al.  'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns , 2000, Genome Biology.

[18]  N. Sampas,et al.  Molecular classification of cutaneous malignant melanoma by gene expression profiling , 2000, Nature.

[19]  G. McLachlan,et al.  Mixtures of Factor Analyzers , 2000, ICML.

[20]  Ash A. Alizadeh,et al.  Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.

[21]  J. Mesirov,et al.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[22]  David M. Rocke,et al.  Some computational issues in cluster analysis with no a priori metric , 1999 .

[23]  David Peel,et al.  The EMMIX Algorithm for the Fitting of Normal and t-Components , 1999 .

[24]  U. Alon,et al.  Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[25]  Zohar Yakhini,et al.  Clustering gene expression patterns , 1999, J. Comput. Biol..

[26]  D. Botstein,et al.  Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[27]  Geoffrey J. McLachlan,et al.  Robust Cluster Analysis via Mixtures of Multivariate t-Distributions , 1998, SSPR/SPR.

[28]  G. McLachlan,et al.  The EM algorithm and extensions , 1996 .

[29]  Peter J. Rousseeuw,et al.  Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .

[30]  W. Krzanowski,et al.  A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering , 1988 .

[31]  G. McLachlan On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture , 1987 .

[32]  J. Hartigan Statistical theory in clustering , 1985 .

[33]  C. Mallows,et al.  A Method for Comparing Two Hierarchical Clusterings , 1983 .

[34]  Murray Aitkin,et al.  Statistical Modelling of Data on Teaching Styles , 1981 .

[35]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[36]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[37]  A. Hope A Simplified Monte Carlo Significance Test Procedure , 1968 .

[38]  G. Parmigiani,et al.  The Analysis of Gene Expression Data , 2003 .

[39]  Jun S. Liu,et al.  Bayesian Clustering with Variable and Transformation Selections , 2003 .

[40]  Todd,et al.  Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning , 2002, Nature Medicine.

[41]  Mark J. van der Laan,et al.  Paired and Unpaired Comparisons and Clustering with Gene Expression Data , 2001 .

[42]  R. Tibshirani,et al.  Estimating the number of clusters in a data set via the gap statistic , 2000 .

[43]  T. Caliński,et al.  A dendrite method for cluster analysis , 1974 .