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    BMCBI
    2007
    134views more  BMCBI 2007»
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    13 years 8 months ago
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
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    Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
    Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
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    BMCBI
    2006
    92views more  BMCBI 2006»
    Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
    13 years 8 months ago
    Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
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    Background: Genetic markers hold great promise for refining our ability to establish precise prognostic prediction for diseases. The development of comprehensive gene expression m...
    Shigeyuki Matsui
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    IDA
    2006
    Springer
    82views Information Technology» more  IDA 2006»
    Temporal Bayesian classifiers for modelling muscular dystrophy expression data
    13 years 8 months ago
    Temporal Bayesian classifiers for modelling muscular dystrophy expression data
    Download  bura.brunel.ac.uk
    The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a ...
    Allan Tucker, Peter A. C. 't Hoen, Veronica Vincio...
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    BMCBI
    2007
    143views more  BMCBI 2007»
    Gene selection for classification of microarray data based on the Bayes error
    13 years 8 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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    BIBE
    2004
    IEEE
    107views Bioinformatics» more  BIBE 2004»
    Enhanced pClustering and Its Applications to Gene Expression Data
    14 years 13 days ago
    Enhanced pClustering and Its Applications to Gene Expression Data
    Download  si2.epfl.ch
    Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
    Sungroh Yoon, Christine Nardini, Luca Benini, Giov...
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