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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 5 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
    2007
    132views more  BMCBI 2007»
    On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
    13 years 5 months ago
    On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
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    Background: Novel molecular and statistical methods are in rising demand for disease diagnosis and prognosis with the help of recent advanced biotechnology. High-resolution mass s...
    Jingjing Ye, Hao Liu, Crystal Kirmiz, Carlito B. L...
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    CN
    2006
    61views more  CN 2006»
    Structuring topologically aware overlay networks using domain names
    13 years 5 months ago
    Structuring topologically aware overlay networks using domain names
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    Abstract-- Overlay networks are application layer systems which facilitate users in performing distributed functions such as searches over the contents of other users. An important...
    Demetrios Zeinalipour-Yazti, Vana Kalogeraki
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    TIT
    2008
    140views more  TIT 2008»
    A Resource Framework for Quantum Shannon Theory
    13 years 5 months ago
    A Resource Framework for Quantum Shannon Theory
    Download  info.phys.unm.edu
    Quantum Shannon theory is loosely defined as a collection of coding theorems, such as classical and quantum source compression, noisy channel coding theorems, entanglement distilla...
    Igor Devetak, Aram Wettroth Harrow, Andreas J. Win...
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    BMCBI
    2005
    109views more  BMCBI 2005»
    Automation of gene assignments to metabolic pathways using high-throughput expression data
    13 years 5 months ago
    Automation of gene assignments to metabolic pathways using high-throughput expression data
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    Background: Accurate assignment of genes to pathways is essential in order to understand the functional role of genes and to map the existing pathways in a given genome. Existing ...
    Liviu Popescu, Golan Yona
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