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    BMCBI
    2006
    164views more  BMCBI 2006»
    Evaluation of clustering algorithms for gene expression data
    13 years 7 months ago
    Evaluation of clustering algorithms for gene expression data
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    Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
    Susmita Datta, Somnath Datta
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    BMCBI
    2007
    174views more  BMCBI 2007»
    Inferring activity changes of transcription factors by binding association with sorted expression profiles
    13 years 7 months ago
    Inferring activity changes of transcription factors by binding association with sorted expression profiles
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    Background: The identification of transcription factors (TFs) associated with a biological process is fundamental to understanding its regulatory mechanisms. From microarray data,...
    Chao Cheng, Xiting Yan, Fengzhu Sun, Lei M. Li
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    BMCBI
    2007
    163views more  BMCBI 2007»
    Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
    13 years 7 months ago
    Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
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    Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
    Carmen Pin, Mark Reuter
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    ACAL
    2007
    Springer
    161views Artificial Intelligence» more  ACAL 2007»
    An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity
    14 years 1 months ago
    An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity
    Download  www.cs.newcastle.edu.au
    Abstract. This paper illustrates how the Quadratic Assignment Problem (QAP) is used as a mathematical model that helps to produce a visualization of microarray data, based on the r...
    Mario Inostroza-Ponta, Alexandre Mendes, Regina Be...
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    NIPS
    2003
    151views Information Technology» more  NIPS 2003»
    Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
    13 years 9 months ago
    Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
    Download  books.nips.cc
    New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
    Claudio Gentile
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