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    BMCBI
    2010
    172views more  BMCBI 2010»
    Comparison of evolutionary algorithms in gene regulatory network model inference
    14 years 9 months ago
    Comparison of evolutionary algorithms in gene regulatory network model inference
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    Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
    Alina Sîrbu, Heather J. Ruskin, Martin Crane
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    BIOINFORMATICS
    2007
    137views more  BIOINFORMATICS 2007»
    Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
    14 years 9 months ago
    Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
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    : Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
    Claudio Lottaz, Joern Toedling, Rainer Spang
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    BIODATAMINING
    2008
    178views more  BIODATAMINING 2008»
    Clustering-based approaches to SAGE data mining
    14 years 9 months ago
    Clustering-based approaches to SAGE data mining
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    Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
    Haiying Wang, Huiru Zheng, Francisco Azuaje
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    BMCBI
    2007
    138views more  BMCBI 2007»
    A full Bayesian hierarchical mixture model for the variance of gene differential expression
    14 years 9 months ago
    A full Bayesian hierarchical mixture model for the variance of gene differential expression
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    Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
    Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...
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    BMCBI
    2006
    160views more  BMCBI 2006»
    MIMAS: an innovative tool for network-based high density oligonucleotide microarray data management and annotation
    14 years 9 months ago
    MIMAS: an innovative tool for network-based high density oligonucleotide microarray data management and annotation
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    Background: The high-density oligonucleotide microarray (GeneChip) is an important tool for molecular biological research aiming at large-scale detection of small nucleotide polym...
    Leandro Hermida, Olivier Schaad, Philippe Demougin...
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