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    BMCBI
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 8 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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    BIOINFORMATICS
    2007
    195views more  BIOINFORMATICS 2007»
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    13 years 9 months ago
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    Download  www.stat.ucla.edu
    Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
    Shinsheng Yuan, Ker-Chau Li
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    JCB
    2002
    160views more  JCB 2002»
    Inference from Clustering with Application to Gene-Expression Microarrays
    13 years 8 months ago
    Inference from Clustering with Application to Gene-Expression Microarrays
    Download  www.vision.ime.usp.br
    There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
    Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
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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 9 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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    SDM
    2008
    SIAM
    157views Data Mining» more  SDM 2008»
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    13 years 10 months ago
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    Download  siam.org
    Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
    M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
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