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    » Unfolding of Microarray Data
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    BMCBI
    2006
    123views more  BMCBI 2006»
    How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different result
    13 years 8 months ago
    How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different result
    Download  www.biomedcentral.com
    Background: Short oligonucleotide arrays for transcript profiling have been available for several years. Generally, raw data from these arrays are analysed with the aid of the Mic...
    Frank F. Millenaar, John Okyere, Sean T. May, Mart...
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    JBI
    2007
    138views Bioinformatics» more  JBI 2007»
    Towards knowledge-based gene expression data mining
    13 years 7 months ago
    Towards knowledge-based gene expression data mining
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    ct 10 The field of gene expression data analysis has grown in the past few years from being purely data-centric to integrative, aiming at 11 complementing microarray analysis with...
    Riccardo Bellazzi, Blaz Zupan
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    JMLR
    2008
    117views more  JMLR 2008»
    Closed Sets for Labeled Data
    13 years 7 months ago
    Closed Sets for Labeled Data
    Download  kt.ijs.si
    Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
    Gemma C. Garriga, Petra Kralj, Nada Lavrac
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    CSB
    2003
    IEEE
    123views Bioinformatics» more  CSB 2003»
    Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data
    14 years 1 months ago
    Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data
    Download  www.cse.buffalo.edu
    DNA microarray technology provides a broad snapshot of the state of the cell by measuring the expression levels of thousands of genes simultaneously. Visualization techniques can ...
    Li Zhang, Aidong Zhang, Murali Ramanathan
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    PAKDD
    2005
    ACM
    114views Data Mining» more  PAKDD 2005»
    Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
    14 years 1 months ago
    Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
    Download  personal.gscit.monash.edu.au
    The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
    Chia Huey Ooi, Madhu Chetty
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