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    BMCBI
    2007
    161views more  BMCBI 2007»
    Efficient classification of complete parameter regions based on semidefinite programming
    13 years 8 months ago
    Efficient classification of complete parameter regions based on semidefinite programming
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    Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
    Lars Kuepfer, Uwe Sauer, Pablo A. Parrilo
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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 8 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
    106views more  BMCBI 2007»
    In silico identification of NF-kappaB-regulated genes in pancreatic beta-cells
    13 years 8 months ago
    In silico identification of NF-kappaB-regulated genes in pancreatic beta-cells
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    Background: Pancreatic beta-cells are the target of an autoimmune attack in type 1 diabetes mellitus (T1DM). This is mediated in part by cytokines, such as interleukin (IL)-1β an...
    Najib Naamane, Jacques van Helden, Decio L. Eiziri...
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    BMCBI
    2008
    129views more  BMCBI 2008»
    A unified approach to false discovery rate estimation
    13 years 8 months ago
    A unified approach to false discovery rate estimation
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    Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
    Korbinian Strimmer
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    BMCBI
    2008
    179views more  BMCBI 2008»
    Building pathway clusters from Random Forests classification using class votes
    13 years 8 months ago
    Building pathway clusters from Random Forests classification using class votes
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    Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
    Herbert Pang, Hongyu Zhao
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