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    » A factor model to analyze heterogeneity in gene expression
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    TKDE
    2010
    224views more  TKDE 2010»
    Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering
    13 years 4 months ago
    Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering
    Download  www.cs.wayne.edu
    Coclustering heterogeneous data has attracted extensive attention recently due to its high impact on various important applications, such us text mining, image retrieval, and bioin...
    Yanhua Chen, Lijun Wang, Ming Dong
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    BMCBI
    2007
    146views more  BMCBI 2007»
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    13 years 10 months ago
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    Download  www.biomedcentral.com
    Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
    Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
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    BMCBI
    2004
    79views more  BMCBI 2004»
    A new mixture model approach to analyzing allelic-loss data using Bayes factors
    13 years 9 months ago
    A new mixture model approach to analyzing allelic-loss data using Bayes factors
    Download  www.biomedcentral.com
    Background: Allelic-loss studies record data on the loss of genetic material in tumor tissue relative to normal tissue at various loci along the genome. As the deletion of a tumor...
    Manisha Desai, Mary J. Emond
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    BMCBI
    2005
    145views more  BMCBI 2005»
    CAGER: classification analysis of gene expression regulation using multiple information sources
    13 years 9 months ago
    CAGER: classification analysis of gene expression regulation using multiple information sources
    Download  www.biomedcentral.com
    Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
    Jianhua Ruan, Weixiong Zhang
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    CORR
    2010
    Springer
    52views Education» more  CORR 2010»
    Nonparametric Bayesian Sparse Factor Models with application to Gene Expression modelling
    13 years 4 months ago
    Nonparametric Bayesian Sparse Factor Models with application to Gene Expression modelling
    Download  mlg.eng.cam.ac.uk
    David Knowles, Zoubin Ghahramani
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