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    BMCBI
    2005
    112views more  BMCBI 2005»
    Visualization methods for statistical analysis of microarray clusters
    14 years 2 months ago
    Visualization methods for statistical analysis of microarray clusters
    Download  function.princeton.edu
    Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
    Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
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    BMCBI
    2005
    148views more  BMCBI 2005»
    Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
    14 years 2 months ago
    Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
    Download  www.biomedcentral.com
    Background: Numerous nonparametric approaches have been proposed in literature to detect differential gene expression in the setting of two user-defined groups. However, there is ...
    Xin Gao, Peter X. K. Song
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    BMCBI
    2005
    80views more  BMCBI 2005»
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
    14 years 2 months ago
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
    Download  www.biomedcentral.com
    Background: Life processes are determined by the organism's genetic profile and multiple environmental variables. However the interaction between these factors is inherently ...
    Kevin Dawson, Raymond L. Rodriguez, Wasyl Malyj
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    BMCBI
    2005
    153views more  BMCBI 2005»
    A comparative review of estimates of the proportion unchanged genes and the false discovery rate
    14 years 2 months ago
    A comparative review of estimates of the proportion unchanged genes and the false discovery rate
    Download  www.biomedcentral.com
    Background: In the analysis of microarray data one generally produces a vector of p-values that for each gene give the likelihood of obtaining equally strong evidence of change by...
    Per Broberg
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    BMCBI
    2005
    121views more  BMCBI 2005»
    Evaluation of gene importance in microarray data based upon probability of selection
    14 years 2 months ago
    Evaluation of gene importance in microarray data based upon probability of selection
    Download  www.biomedcentral.com
    Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
    Li M. Fu, Casey S. Fu-Liu
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    BIOINFORMATICS
    2005
    151views more  BIOINFORMATICS 2005»
    Differential and trajectory methods for time course gene expression data
    14 years 2 months ago
    Differential and trajectory methods for time course gene expression data
    Download  www.acsu.buffalo.edu
    Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
    Yulan Liang, Bamidele Tayo, Xueya Cai, Arpad Kelem...
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    BIOINFORMATICS
    2005
    105views more  BIOINFORMATICS 2005»
    MADE4: an R package for multivariate analysis of gene expression data
    14 years 2 months ago
    MADE4: an R package for multivariate analysis of gene expression data
    Download  www.hsph.harvard.edu
    Summary: MADE4, microarray ade4, is a software package that facilitates multivariate analysis of microarray gene expression data. MADE4 accepts a wide variety of gene expression d...
    Aedín C. Culhane, Jean Thioulouse, Guy Perr...
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    KES
    2006
    Springer
    136views Information Technology» more  KES 2006»
    Combined Gene Selection Methods for Microarray Data Analysis
    14 years 2 months ago
    Combined Gene Selection Methods for Microarray Data Analysis
    Download  eprints.usq.edu.au
    In recent years, the rapid development of DNA Microarray technology has made it possible for scientists to monitor the expression level of thousands of genes in a single experiment...
    Hong Hu, Jiuyong Li, Hua Wang, Grant Daggard
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    JBI
    2008
    159views Bioinformatics» more  JBI 2008»
    SEGS: Search for enriched gene sets in microarray data
    14 years 2 months ago
    SEGS: Search for enriched gene sets in microarray data
    Download  www.time.mk
    Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
    Igor Trajkovski, Nada Lavrac, Jakub Tolar
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    IJON
    2006
    99views more  IJON 2006»
    Feature selection in independent component subspace for microarray data classification
    14 years 2 months ago
    Feature selection in independent component subspace for microarray data classification
    Download  www.intelengine.cn
    A novel method for microarray data classification is proposed in this letter. In this scheme, the sequential floating forward selection (SFFS) technique is used to select the inde...
    Chun-Hou Zheng, De-Shuang Huang, Li Shang
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