Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets
暂无分享,去创建一个
[1] Gregory D. Schuler,et al. Database resources of the National Center for Biotechnology , 2003, Nucleic Acids Res..
[2] Geoffrey E. Hinton,et al. Self-organizing neural network that discovers surfaces in random-dot stereograms , 1992, Nature.
[3] 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.
[4] Johannes Gehrke,et al. A framework for measuring changes in data characteristics , 1999, PODS '99.
[5] Yudong D. He,et al. Functional Discovery via a Compendium of Expression Profiles , 2000, Cell.
[6] Samuel Kaski,et al. Associative Clustering (AC): Technical Details , 2005 .
[7] Douglas A. Hosack,et al. Identifying biological themes within lists of genes with EASE , 2003, Genome Biology.
[8] Samuel Kaski,et al. Discriminative clustering , 2005, Neurocomputing.
[9] Nicola J. Rinaldi,et al. Transcriptional Regulatory Networks in Saccharomyces cerevisiae , 2002, Science.
[10] Michal Linial,et al. Using Bayesian Networks to Analyze Expression Data , 2000, J. Comput. Biol..
[11] L. Wasserman,et al. Computing Bayes Factors by Combining Simulation and Asymptotic Approximations , 1997 .
[12] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[13] Samuel Kaski,et al. Associative Clustering , 2004, ECML.
[14] Naftali Tishby,et al. Unsupervised document classification using sequential information maximization , 2002, SIGIR '02.
[15] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[16] Samuel Kaski,et al. Clustering Based on Conditional Distributions in an Auxiliary Space , 2002, Neural Computation.
[17] D. Pe’er,et al. Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data , 2003, Nature Genetics.
[18] S. Pääbo,et al. Intra- and Interspecific Variation in Primate Gene Expression Patterns , 2002, Science.
[19] G. Church,et al. Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae , 2001, Nature Genetics.
[20] Prahlad T. Ram,et al. G Protein Pathways , 2002, Science.
[21] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[22] M. Gerstein,et al. Complex transcriptional circuitry at the G1/S transition in Saccharomyces cerevisiae. , 2002, Genes & development.
[23] R. Tibshirani,et al. An introduction to the bootstrap , 1993 .
[24] J. Sgouros,et al. Microarray analysis of orthologous genes: conservation of the translational machinery across species at the sequence and expression level , 2002, Genome Biology.
[25] Naftali Tishby,et al. The information bottleneck method , 2000, ArXiv.
[26] Jarkko Venna,et al. Analysis and visualization of gene expression data using Self-Organizing Maps , 2002, Neural Networks.
[27] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[28] Geoffrey J. McLachlan,et al. Analyzing Microarray Gene Expression Data , 2004 .
[29] S. Bergmann,et al. Similarities and Differences in Genome-Wide Expression Data of Six Organisms , 2003, PLoS biology.
[30] R. Ewing,et al. Est Databases as Multi-conditional Gene Expression Datasets , 2022 .
[31] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[32] Samuel Kaski,et al. Sequential information bottleneck for finite data , 2004, ICML.
[33] A. Orth,et al. Large-scale analysis of the human and mouse transcriptomes , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[34] Mokhtar S. Bazaraa,et al. Nonlinear Programming: Theory and Algorithms , 1993 .
[35] Hidemasa Bono,et al. Functional transcriptomes: comparative analysis of biological pathways and processes in eukaryotes to infer genetic networks among transcripts. , 2002, Current opinion in structural biology.
[36] M K Kerr,et al. Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[37] S. Pääbo,et al. A Neutral Model of Transcriptome Evolution , 2004, PLoS biology.
[38] 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.
[39] Suzanna Becker,et al. Mutual information maximization: models of cortical self-organization. , 1996, Network.
[40] Naftali Tishby,et al. Multivariate Information Bottleneck , 2001, Neural Computation.
[41] Michael A. Beer,et al. Predicting Gene Expression from Sequence , 2004, Cell.
[42] Ronald W. Davis,et al. A genome-wide transcriptional analysis of the mitotic cell cycle. , 1998, Molecular cell.
[43] I. Good. On the Application of Symmetric Dirichlet Distributions and their Mixtures to Contingency Tables , 1976 .
[44] Sean B. Carroll,et al. Genetics and the making of Homo sapiens , 2003, Nature.
[45] M. Adams,et al. Inferring Nonneutral Evolution from Human-Chimp-Mouse Orthologous Gene Trios , 2003, Science.