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    BMCBI
    2008
    128views more  BMCBI 2008»
    Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
    13 years 9 months ago
    Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
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    Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
    Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
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    BMCBI
    2006
    92views more  BMCBI 2006»
    Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
    13 years 8 months ago
    Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
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    Background: Genetic markers hold great promise for refining our ability to establish precise prognostic prediction for diseases. The development of comprehensive gene expression m...
    Shigeyuki Matsui
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    BMCBI
    2008
    127views more  BMCBI 2008»
    Gene and pathway identification with Lp penalized Bayesian logistic regression
    13 years 9 months ago
    Gene and pathway identification with Lp penalized Bayesian logistic regression
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    Background: Identifying genes and pathways associated with diseases such as cancer has been a subject of considerable research in recent years in the area of bioinformatics and co...
    Zhenqiu Liu, Ronald B. Gartenhaus, Ming Tan, Feng ...
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    BMCBI
    2010
    133views more  BMCBI 2010»
    Predicting enzyme targets for cancer drugs by profiling human Metabolic reactions in NCI-60 cell lines
    13 years 9 months ago
    Predicting enzyme targets for cancer drugs by profiling human Metabolic reactions in NCI-60 cell lines
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    Background: Drugs can influence the whole metabolic system by targeting enzymes which catalyze metabolic reactions. The existence of interactions between drugs and metabolic react...
    Limin Li, Xiaobo Zhou, Wai-Ki Ching, Ping Wang
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    ICMLA
    2008
    149views Machine Learning» more  ICMLA 2008»
    Microarray Classification from Several Two-Gene Expression Comparisons
    13 years 10 months ago
    Microarray Classification from Several Two-Gene Expression Comparisons
    Download  www.cis.jhu.edu
    We describe our contribution to the ICMLA2008 "Automated Micro-Array Classification Challenge". The design of our classifier is motivated by the special scenario encounte...
    Donald Geman, Bahman Afsari, Aik Choon Tan, Daniel...
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