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    » Bayesian meta-analysis models for microarray data: a compara...
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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 6 months ago
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
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    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
    2011
    200views Artificial Intelligence» more  BMCBI 2011»
    Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips
    13 years 1 months ago
    Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips
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    Background: Illumina’s Infinium SNP BeadChips are extensively used in both small and large-scale genetic studies. A fundamental step in any analysis is the processing of raw all...
    Matthew E. Ritchie, Ruijie Liu, Benilton Carvalho,...
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    IDA
    2005
    Springer
    151views Information Technology» more  IDA 2005»
    Bayesian Networks Learning for Gene Expression Datasets
    14 years 7 days ago
    Bayesian Networks Learning for Gene Expression Datasets
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    DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
    Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...
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    NAR
    2002
    141views more  NAR 2002»
    Co-expression pattern from DNA microarray experiments as a tool for operon prediction
    13 years 6 months ago
    Co-expression pattern from DNA microarray experiments as a tool for operon prediction
    Download  www.stat.ucla.edu
    The prediction of operons, the smallest unit of transcription in prokaryotes, is the first step towards reconstruction of a regulatory network at the whole genome level. Sequence ...
    Chiara Sabatti, Lars Rohlin, Min-Kyu Oh, James C. ...
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    BMCBI
    2006
    211views more  BMCBI 2006»
    Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
    13 years 6 months ago
    Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
    Download  www.biomedcentral.com
    Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
    Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng
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