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    BMCBI
    2010
    136views more  BMCBI 2010»
    An integrated Bayesian analysis of LOH and copy number data
    13 years 8 months ago
    An integrated Bayesian analysis of LOH and copy number data
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    Background: Cancer and other disorders are due to genomic lesions. SNP-microarrays are able to measure simultaneously both genotype and copy number (CN) at several Single Nucleoti...
    Paola M. V. Rancoita, Marcus Hutter, Francesco Ber...
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    BMCBI
    2010
    95views more  BMCBI 2010»
    An effective approach for identification of in vivo protein-DNA binding sites from paired-end ChIP-Seq data
    13 years 8 months ago
    An effective approach for identification of in vivo protein-DNA binding sites from paired-end ChIP-Seq data
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    Background: ChIP-Seq, which combines chromatin immunoprecipitation (ChIP) with high-throughput massively parallel sequencing, is increasingly being used for identification of prot...
    Congmao Wang, Jie Xu, Dasheng Zhang, Zoe A. Wilson...
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    BMCBI
    2007
    227views more  BMCBI 2007»
    Growing functional modules from a seed protein via integration of protein interaction and gene expression data
    13 years 8 months ago
    Growing functional modules from a seed protein via integration of protein interaction and gene expression data
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    Background: Nowadays modern biology aims at unravelling the strands of complex biological structures such as the protein-protein interaction (PPI) networks. A key concept in the o...
    Ioannis A. Maraziotis, Konstantina Dimitrakopoulou...
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    BMCBI
    2008
    166views more  BMCBI 2008»
    Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
    13 years 8 months ago
    Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
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    Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
    Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
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    BMCBI
    2007
    173views more  BMCBI 2007»
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    13 years 7 months ago
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
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    Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
    Malik Yousef, Segun Jung, Louise C. Showe, Michael...
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