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    » Integrative missing value estimation for microarray data
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    GPB
    2010
    231views Solid Modeling» more  GPB 2010»
    Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
    13 years 4 months ago
    Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
    Download  estbioinfo.stat.ub.es
    The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
    Ferran Reverter, Esteban Vegas, Pedro Sánch...
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    BMCBI
    2005
    167views more  BMCBI 2005»
    Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
    13 years 6 months ago
    Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
    Download  www.biomedcentral.com
    Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
    Patrick Warnat, Roland Eils, Benedikt Brors
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    INTERSPEECH
    2010
    107views Signal Processing» more  INTERSPEECH 2010»
    Estimating missing data sequences in x-ray microbeam recordings
    13 years 1 months ago
    Estimating missing data sequences in x-ray microbeam recordings
    Download  faculty.ucmerced.edu
    Techniques for recording the vocal tract shape during speech such as X-ray microbeam or EMA track the spatial location of pellets attached to several articulators. Limitations of ...
    Chao Qin, Miguel Á. Carreira-Perpiñ&...
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    ICA
    2012
    Springer
    288views Signal Processing» more  ICA 2012»
    Audio Imputation Using the Non-negative Hidden Markov Model
    12 years 2 months ago
    Audio Imputation Using the Non-negative Hidden Markov Model
    Download  www.cs.northwestern.edu
    Abstract. Missing data in corrupted audio recordings poses a challenging problem for audio signal processing. In this paper we present an approach that allows us to estimate missin...
    Jinyu Han, Gautham J. Mysore, Bryan Pardo
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    MOBIDE
    2010
    ACM
    299views Computer Networks» more  MOBIDE 2010»
    Using data mining to handle missing data in multi-hop sensor network applications
    13 years 7 months ago
    Using data mining to handle missing data in multi-hop sensor network applications
    Download  www.cs.ou.edu
    A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
    Le Gruenwald, Hanqing Yang, Md. Shiblee Sadik, Rah...
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