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    SAC
    2004
    ACM
    132views Applied Computing» more  SAC 2004»
    Time-frequency feature detection for time-course microarray data
    14 years 3 months ago
    Time-frequency feature detection for time-course microarray data
    Download  cs.nyu.edu
    Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
    Jiawu Feng, Paolo Emilio Barbano, Bud Mishra
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    ECCV
    2006
    Springer
    161views Computer Vision» more  ECCV 2006»
    Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI
    14 years 1 months ago
    Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI
    Download  www.cis.upenn.edu
    While learning ensembles have been widely used for various pattern recognition tasks, surprisingly, they have found limited application in problems related to medical image analysi...
    Anant Madabhushi, Jianbo Shi, Michael D. Feldman, ...
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    BMCBI
    2007
    180views more  BMCBI 2007»
    Splicy: a web-based tool for the prediction of possible alternative splicing events from Affymetrix probeset data
    13 years 9 months ago
    Splicy: a web-based tool for the prediction of possible alternative splicing events from Affymetrix probeset data
    Download  www.biomedcentral.com
    Background: The Affymetrix™ technology is nowadays a well-established method for the analysis of gene expression profiles in cancer research studies. However, changes in gene ex...
    Davide Rambaldi, Barbara Felice, Viviane Praz, Phi...
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    BMCBI
    2007
    134views more  BMCBI 2007»
    A framework for significance analysis of gene expression data using dimension reduction methods
    13 years 10 months ago
    A framework for significance analysis of gene expression data using dimension reduction methods
    Download  www.biomedcentral.com
    Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
    Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
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    IDEAL
    2005
    Springer
    131views Intelligent Agents» more  IDEAL 2005»
    Evolving Neural Networks for the Classification of Malignancy Associated Changes
    14 years 3 months ago
    Evolving Neural Networks for the Classification of Malignancy Associated Changes
    Download  www.staff.ncl.ac.uk
    Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
    Jennifer Hallinan
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