MeV: MultiExperiment Viewer
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Raktim Sinha | Daniel Schlauch | Sarita J. Nair | John Quackenbush | Eleanor A. Howe | Kristina Holton | R. Sinha | J. Quackenbush | K. Holton | E. Howe | D. Schlauch | Raktim Sinha
[1] Roger E Bumgarner,et al. Multiclass classification of microarray data with repeated measurements: application to cancer , 2003, Genome Biology.
[2] N. Socci,et al. Leptin-specific patterns of gene expression in white adipose tissue. , 2000, Genes & development.
[3] J. Hoheisel,et al. Correspondence analysis applied to microarray data , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[4] J. Mesirov,et al. Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[5] Gordon K. Smyth,et al. limma: Linear Models for Microarray Data , 2005 .
[6] 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.
[7] R. Simon,et al. Controlling the number of false discoveries: application to high-dimensional genomic data , 2004 .
[8] A I Saeed,et al. TM4: a free, open-source system for microarray data management and analysis. , 2003, BioTechniques.
[9] William Stafford Noble,et al. Analysis of strain and regional variation in gene expression in mouse brain , 2001, Genome Biology.
[10] Guy Perrière,et al. Between-group analysis of microarray data , 2002, Bioinform..
[11] Welch Bl. THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED , 1947 .
[12] John Boyle,et al. Cytoscape: a community-based framework for network modeling. , 2009, Methods in molecular biology.
[13] R. Tibshirani,et al. Diagnosis of multiple cancer types by shrunken centroids of gene expression , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[14] John Quackenbush,et al. An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation) , 2009, BMC Bioinformatics.
[15] Douglas A. Hosack,et al. Identifying biological themes within lists of genes with EASE , 2003, Genome Biology.
[16] Robert Tibshirani,et al. SAM “Significance Analysis of Microarrays” Users guide and technical document , 2002 .
[17] Danh V. Nguyen,et al. Multi-class cancer classification via partial least squares with gene expression profiles , 2002, Bioinform..
[18] Gordon K Smyth,et al. Statistical Applications in Genetics and Molecular Biology Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments , 2011 .
[19] R. Tibshirani,et al. Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[20] T. J. Breen,et al. Biostatistical Analysis (2nd ed.). , 1986 .
[21] G. Keppel. Data analysis for research designs , 1990 .
[22] D Haussler,et al. Knowledge-based analysis of microarray gene expression data by using support vector machines. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[23] B. Manly. Randomization, Bootstrap and Monte Carlo Methods in Biology , 2018 .
[24] Brad T. Sherman,et al. DAVID: Database for Annotation, Visualization, and Integrated Discovery , 2003, Genome Biology.
[25] Rainer Breitling,et al. Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments , 2004, FEBS letters.
[26] J. Dopazo,et al. Phylogenetic Reconstruction Using an Unsupervised Growing Neural Network That Adopts the Topology of a Phylogenetic Tree , 1997, Journal of Molecular Evolution.
[27] Ash A. Alizadeh,et al. 'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns , 2000, Genome Biology.
[28] John Quackenbush,et al. CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data , 2005, Bioinform..
[29] Seon-Young Kim,et al. PAGE: Parametric Analysis of Gene Set Enrichment , 2005, BMC Bioinform..
[30] R. Gentleman,et al. Gene expression profile of adult T-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival. , 2004, Blood.
[31] Ka Yee Yeung,et al. Validating clustering for gene expression data , 2001, Bioinform..
[32] Roger E Bumgarner,et al. Correction: Multiclass classification of microarray data with repeated measurements: application to cancer , 2006, Genome Biology.
[33] A. Butte,et al. Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[34] Ron Shamir,et al. Clustering Gene Expression Patterns , 1999, J. Comput. Biol..
[35] Rafael A. Irizarry,et al. Bioinformatics and Computational Biology Solutions using R and Bioconductor , 2005 .
[36] Zhen Jiang,et al. Bioconductor Project Bioconductor Project Working Papers Year Paper Extensions to Gene Set Enrichment , 2013 .
[37] Joshua M. Stuart,et al. A Gene Expression Map for Caenorhabditis elegans , 2001, Science.
[38] Alfonso Valencia,et al. A hierarchical unsupervised growing neural network for clustering gene expression patterns , 2001, Bioinform..
[39] David J. Reiss,et al. The Gaggle: An open-source software system for integrating bioinformatics software and data sources , 2006, BMC Bioinformatics.
[40] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[41] John Quackenbush,et al. Seeded Bayesian Networks: Constructing genetic networks from microarray data , 2008, BMC Systems Biology.
[42] S. Dudoit,et al. Multiple Hypothesis Testing in Microarray Experiments , 2003 .