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    BMCBI
    2006
    134views more  BMCBI 2006»
    An approach for clustering gene expression data with error information
    13 years 7 months ago
    An approach for clustering gene expression data with error information
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    Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
    Brian Tjaden
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    BMCBI
    2005
    103views more  BMCBI 2005»
    Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery
    13 years 7 months ago
    Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery
    Download  www.biomedcentral.com
    Background: Molecular profiling generates abundance measurements for thousands of gene transcripts in biological samples such as normal and tumor tissues (data points). Given such...
    Leslie Grate
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    13 years 9 months ago
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    Download  www.cs.berkeley.edu
    In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
    Yitao Duan, John F. Canny
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    ICDE
    2008
    IEEE
    137views Database» more  ICDE 2008»
    Stop Chasing Trends: Discovering High Order Models in Evolving Data
    14 years 9 months ago
    Stop Chasing Trends: Discovering High Order Models in Evolving Data
    Download  magna.cs.ucla.edu
    Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
    Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
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    BMCBI
    2007
    146views more  BMCBI 2007»
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    13 years 7 months ago
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    Download  www.biomedcentral.com
    Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
    Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
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