Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering

[1]  Teuvo Kohonen,et al.  Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.

[2]  Xiaobo Zhou,et al.  Missing-value estimation using linear and non-linear regression with Bayesian gene selection , 2003, Bioinform..

[3]  Shin Ishii,et al.  A Bayesian missing value estimation method for gene expression profile data , 2003, Bioinform..

[4]  Saman K. Halgamuge,et al.  An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data , 2003, Bioinform..

[5]  Li Liu,et al.  Robust singular value decomposition analysis of microarray data , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[6]  S. Batzoglou,et al.  Application of independent component analysis to microarrays , 2003, Genome Biology.

[7]  Claire Tilstone.  DNA microarrays: Vital statistics , 2003, Nature.

[8]  Rong Shi,et al.  Possibility of using DNA chip technology for diagnosis of human papillomavirus. , 2003, Journal of biochemistry and molecular biology.

[9]  R. Tibshirani,et al.  Repeated observation of breast tumor subtypes in independent gene expression data sets , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Daniel Pinkel,et al.  Large-scale variation among human and great ape genomes determined by array comparative genomic hybridization. , 2003, Genome research.

[11]  Detlef Weigel,et al.  Large-scale identification of single-feature polymorphisms in complex genomes. , 2003, Genome research.

[12]  David Botstein,et al.  Variation in gene expression patterns in follicular lymphoma and the response to rituximab , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Partha S. Vasisht.  Computational Analysis of Microarray Data , 2003 .

[14]  David Botstein,et al.  The Stanford Microarray Database: data access and quality assessment tools , 2003, Nucleic Acids Res..

[15]  Roger E Bumgarner,et al.  Clustering gene-expression data with repeated measurements , 2003, Genome Biology.

[16]  Y. Tu,et al.  Quantitative noise analysis for gene expression microarray experiments , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Jarkko Venna,et al.  Analysis and visualization of gene expression data using Self-Organizing Maps , 2002, Neural Networks.

[18]  Francis D. Gibbons,et al.  Judging the quality of gene expression-based clustering methods using gene annotation. , 2002, Genome research.

[19]  Joaquín Dopazo,et al.  Combining hierarchical clustering and self-organizing maps for exploratory analysis of gene expression patterns. , 2002, Journal of proteome research.

[20]  D. Botstein,et al.  Diversity of gene expression in adenocarcinoma of the lung , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[21]  Russ B. Altman,et al.  Missing value estimation methods for DNA microarrays , 2001, Bioinform..

[22]  Ka Yee Yeung,et al.  Validating clustering for gene expression data , 2001, Bioinform..

[23]  Alfonso Valencia,et al.  A hierarchical unsupervised growing neural network for clustering gene expression patterns , 2001, Bioinform..

[24]  P. Brown,et al.  New components of a system for phosphate accumulation and polyphosphate metabolism in Saccharomyces cerevisiae revealed by genomic expression analysis. , 2000, Molecular biology of the cell.

[25]  D. Botstein,et al.  Genomic expression programs in the response of yeast cells to environmental changes. , 2000, Molecular biology of the cell.

[26]  E. Wolski,et al.  Normalization strategies for cDNA microarrays. , 2000, Nucleic acids research.

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

[28]  Earl Hubbell,et al.  Genome-wide mapping with biallelic markers in Arabidopsis thaliana , 1999, Nature Genetics.

[29]  D. Botstein,et al.  Systematic changes in gene expression patterns following adaptive evolution in yeast. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[30]  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.

[31]  Michael Ruogu Zhang,et al.  Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.

[32]  P. Brown,et al.  Exploring the metabolic and genetic control of gene expression on a genomic scale. , 1997, Science.

[33]  Ross Ihaka,et al.  Gentleman R: R: A language for data analysis and graphics , 1996 .

[34]  P. Sopp.  Cluster analysis. , 1996, Veterinary immunology and immunopathology.

[35]  T. Kohonen.  Self-organized formation of topographically correct feature maps , 1982 .

[36]  J. A. Hartigan,et al.  A k-means clustering algorithm , 1979 .

[37]  Maurice K. Wong,et al.  Algorithm AS136: A k-means clustering algorithm. , 1979 .

[38]  L. Dublin.  Vital Statistics. , 1961, British medical journal.

[39]  N. L. Johnson,et al.  Multivariate Analysis , 1958, Nature.