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    BCB
    2010
    175views Bioinformatics» more  BCB 2010»
    Gene set analysis using principal components
    12 years 11 months ago
    Gene set analysis using principal components
    Download  www.cs.unc.edu
    We present a new method for identifying gene sets associated with labeled samples, where the labels can be case versus control, or genotype differences. Existing approaches to thi...
    Isa Kemal Pakatci, Wei Wang, Leonard McMillan
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    BMCBI
    2006
    183views more  BMCBI 2006»
    Mining gene expression data by interpreting principal components
    13 years 4 months ago
    Mining gene expression data by interpreting principal components
    Download  www.biomedcentral.com
    Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
    Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
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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 1 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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    BIOINFORMATICS
    2008
    122views more  BIOINFORMATICS 2008»
    Supervised principal component analysis for gene set enrichment of microarray data with continuous or survival outcomes
    13 years 4 months ago
    Supervised principal component analysis for gene set enrichment of microarray data with continuous or survival outcomes
    Download  www2.in.tu-clausthal.de
    Xi Chen, Lily Wang, Jonathan D. Smith, Bing Zhang
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    JMLR
    2010
    163views more  JMLR 2010»
    Dense Message Passing for Sparse Principal Component Analysis
    12 years 11 months ago
    Dense Message Passing for Sparse Principal Component Analysis
    Download  jmlr.csail.mit.edu
    We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
    Kevin Sharp, Magnus Rattray
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