Model-based clustering of array CGH data
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Kevin P. Murphy | Raymond T. Ng | Sohrab P. Shah | Randy D. Gascoyne | Douglas E. Horsman | Guillaume Alain | K-John Cheung | Nathalie A. Johnson | Guillaume Alain | R. Ng | R. Gascoyne | D. Horsman | S. Shah | N. Johnson | K. Cheung | Kevin P. Murphy | Sohrab P. Shah
[1] Kevin P. Murphy,et al. Integrating copy number polymorphisms into array CGH analysis using a robust HMM , 2006, ISMB.
[2] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .
[3] Anil K. Jain,et al. Simultaneous feature selection and clustering using mixture models , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] C. Yau,et al. QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data , 2007, Nucleic acids research.
[5] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[6] David Haussler,et al. Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families , 1993, ISMB.
[7] L. Chin,et al. High-resolution genomic profiles of human lung cancer. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[8] Francis S. Collins,et al. Mapping the cancer genome , 2007 .
[9] V. Koneti Rao,et al. Taking ALPS down a Notch , 2008 .
[10] Emmanuel Barillot,et al. BAC array CGH distinguishes mutually exclusive alterations that define clinicogenetic subtypes of gliomas , 2007, International journal of cancer.
[11] L. Staudt,et al. Diffuse large B-cell lymphoma subgroups have distinct genetic profiles that influence tumor biology and improve gene-expression-based survival prediction. , 2005, Blood.
[12] S. Tavaré,et al. High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer , 2007, Genome Biology.
[13] Jeroen de Ridder,et al. Identification of cancer genes using a statistical framework for multiexperiment analysis of nondiscretized array CGH data , 2008, Nucleic acids research.
[14] Cédric Archambeau,et al. Probabilistic models in noisy environments : and their application to a visual prosthesis for the blind/ , 2005 .
[15] Vipin Kumar,et al. Introduction to Data Mining, (First Edition) , 2005 .
[16] L. Chin,et al. High-resolution characterization of the pancreatic adenocarcinoma genome , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[17] Sohrab P. Shah,et al. Deletion in Chromosome 17p12 and Gains in Chromosome 9q33.3 by Array Comparative Hybridization Are Associated with R-CHOP Treatment Failure in Patients with Diffuse Large B Cell Lymphoma , 2008 .
[18] Frank Speleman,et al. ArrayCGH‐based classification of neuroblastoma into genomic subgroups , 2007, Genes, chromosomes & cancer.
[19] Randy D Gascoyne,et al. Comprehensive whole genome array CGH profiling of mantle cell lymphoma model genomes. , 2004, Human molecular genetics.
[20] Jeffrey E. Barrick,et al. The power of riboswitches. , 2007, Scientific American.
[21] Joe W. Gray,et al. Translating insights from the cancer genome into clinical practice , 2008, Nature.
[22] M. J. van der Laan,et al. A new partitioning around medoids algorithm , 2003 .
[23] I. Jacobs,et al. Genetic intra‐tumour heterogeneity in epithelial ovarian cancer and its implications for molecular diagnosis of tumours , 2007, The Journal of pathology.
[24] J. Schimenti,et al. Synapsis or silence , 2005, Nature Genetics.
[25] Therese Sørlie,et al. Molecular portraits of breast cancer: tumour subtypes as distinct disease entities. , 2004, European Journal of Cancer.
[26] Peter Green,et al. Markov chain Monte Carlo in Practice , 1996 .
[27] Christian Steidl,et al. Genome-wide profiling of follicular lymphoma by array comparative genomic hybridization reveals prognostically significant DNA copy number imbalances. , 2009, Blood.
[28] D. Pinkel,et al. Array comparative genomic hybridization and its applications in cancer , 2005, Nature Genetics.
[29] Bradley P. Coe,et al. A tiling resolution DNA microarray with complete coverage of the human genome , 2004, Nature Genetics.
[30] Wessel N van Wieringen,et al. Nonparametric Testing for DNA Copy Number Induced Differential mRNA Gene Expression , 2009, Biometrics.
[31] Francis S Collins,et al. Mapping the cancer genome. Pinpointing the genes involved in cancer will help chart a new course across the complex landscape of human malignancies. , 2007, Scientific American.
[32] A. Raftery,et al. Variable Selection for Model-Based Clustering , 2006 .
[33] Kevin P. Murphy,et al. Modeling recurrent DNA copy number alterations in array CGH data , 2007, ISMB/ECCB.
[34] Christian J Stoeckert,et al. STAC: A method for testing the significance of DNA copy number aberrations across multiple array-CGH experiments. , 2006, Genome research.
[35] Sanjay Ranka,et al. Markers improve clustering of CGH data , 2007, Bioinform..
[36] Christian A. Rees,et al. Molecular portraits of human breast tumours , 2000, Nature.
[37] Ingo Ruczinski,et al. Hidden Markov models for the assessment of chromosomal alterations using high-throughput SNP arrays. , 2008, The annals of applied statistics.
[38] Céline Rouveirol,et al. Bioinformatics Original Paper Computation of Recurrent Minimal Genomic Alterations from Array-cgh Data , 2022 .
[39] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[40] Mattias Höglund,et al. Identification of cytogenetic subgroups and karyotypic pathways of clonal evolution in follicular lymphomas , 2004, Genes, chromosomes & cancer.
[41] Adrian Wiestner,et al. A gene expression-based method to diagnose clinically distinct subgroups of diffuse large B cell lymphoma , 2003, Proceedings of the National Academy of Sciences of the United States of America.