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    WILF
    2005
    Springer
    194views Fuzzy Logic» more  WILF 2005»
    Learning Bayesian Classifiers from Gene-Expression MicroArray Data
    13 years 10 months ago
    Learning Bayesian Classifiers from Gene-Expression MicroArray Data
    Download  www.mi.ieiit.cnr.it
    Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
    Andrea Bosin, Nicoletta Dessì, Diego Libera...
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    ICMLA
    2008
    149views Machine Learning» more  ICMLA 2008»
    Microarray Classification from Several Two-Gene Expression Comparisons
    13 years 6 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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    FUIN
    2002
    123views more  FUIN 2002»
    Learning Rough Set Classifiers from Gene Expressions and Clinical Data
    13 years 4 months ago
    Learning Rough Set Classifiers from Gene Expressions and Clinical Data
    Download  www.lcb.uu.se
    Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
    Herman Midelfart, Henryk Jan Komorowski, Kristin N...
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 5 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    RECOMB
    2003
    Springer
    156views Computational Biology» more  RECOMB 2003»
    Joint classifier and feature optimization for cancer diagnosis using gene expression data
    14 years 4 months ago
    Joint classifier and feature optimization for cancer diagnosis using gene expression data
    Download  www.cs.duke.edu
    Recent research has demonstrated quite convincingly that accurate cancer diagnosis can be achieved by constructing classifiers that are designed to compare the gene expression pro...
    Balaji Krishnapuram, Lawrence Carin, Alexander J. ...
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