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    BMCBI
    2008
    167views more  BMCBI 2008»
    Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
    13 years 5 months ago
    Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
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    Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
    Michael Gormley, Aydin Tozeren
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    BMCBI
    2007
    143views more  BMCBI 2007»
    Gene selection for classification of microarray data based on the Bayes error
    13 years 5 months ago
    Gene selection for classification of microarray data based on the Bayes error
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    Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
    Ji-Gang Zhang, Hong-Wen Deng
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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 5 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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    BIOINFORMATICS
    2007
    137views more  BIOINFORMATICS 2007»
    Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
    13 years 5 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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    BMCBI
    2006
    123views more  BMCBI 2006»
    Characterizing disease states from topological properties of transcriptional regulatory networks
    13 years 5 months ago
    Characterizing disease states from topological properties of transcriptional regulatory networks
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    Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
    David Tuck, Harriet Kluger, Yuval Kluger
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