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    » Analysis of variance components in gene expression data
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    BMCBI
    2007
    138views more  BMCBI 2007»
    A full Bayesian hierarchical mixture model for the variance of gene differential expression
    13 years 5 months ago
    A full Bayesian hierarchical mixture model for the variance of gene differential expression
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    Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
    Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...
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    BMCBI
    2006
    151views more  BMCBI 2006»
    Modeling Sage data with a truncated gamma-Poisson model
    13 years 5 months ago
    Modeling Sage data with a truncated gamma-Poisson model
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    Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
    Helene H. Thygesen, Aeilko H. Zwinderman
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    GPB
    2010
    231views Solid Modeling» more  GPB 2010»
    Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
    13 years 2 months ago
    Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
    Download  estbioinfo.stat.ub.es
    The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
    Ferran Reverter, Esteban Vegas, Pedro Sánch...
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    CSDA
    2006
    81views more  CSDA 2006»
    A recursive approach to detect multivariable conditional variance components and conditional random effects
    13 years 5 months ago
    A recursive approach to detect multivariable conditional variance components and conditional random effects
    Download  ddr.nal.usda.gov
    A complex trait like crop yield is determined by its component traits. Multivariable conditional analysis in a general mixed linear model is helpful in dissecting the gene express...
    Jixiang Wu, Dongfeng Wu, Johnie N. Jenkins Jr., Ja...
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    BMCBI
    2010
    243views more  BMCBI 2010»
    Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
    13 years 5 months ago
    Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
    Download  www.biomedcentral.com
    Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
    Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
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