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    » Unfolding of Microarray Data
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    ECML
    2006
    Springer
    135views Machine Learning» more  ECML 2006»
    Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
    13 years 11 months ago
    Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
    Download  cs.gmu.edu
    A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
    Bojun Yan, Carlotta Domeniconi
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    AIME
    2005
    Springer
    119views Artificial Intelligence» more  AIME 2005»
    An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
    13 years 9 months ago
    An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
    Download  www.public.asu.edu
    In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
    Xin Zhang, Chitta Baral, Seungchan Kim
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    PR
    2006
    116views more  PR 2006»
    Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
    13 years 7 months ago
    Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
    Download  www.disi.unige.it
    Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
    Stefano Rovetta, Francesco Masulli
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    PRIB
    2009
    Springer
    147views Bioinformatics» more  PRIB 2009»
    Cross-Platform Analysis with Binarized Gene Expression Data
    14 years 2 months ago
    Cross-Platform Analysis with Binarized Gene Expression Data
    Download  eprints.ecs.soton.ac.uk
    Abstract. With widespread use of microarray technology as a potential diagnostics tool, the comparison of results obtained from the use of different platforms is of interest. When...
    Salih Tuna, Mahesan Niranjan
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    BIBE
    2004
    IEEE
    107views Bioinformatics» more  BIBE 2004»
    Enhanced pClustering and Its Applications to Gene Expression Data
    13 years 11 months 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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