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    NIPS
    2004
    95views Information Technology» more  NIPS 2004»
    PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data
    13 years 9 months ago
    PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data
    Download  books.nips.cc
    We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
    Mario Marchand, Mohak Shah
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    AIME
    2007
    Springer
    136views Artificial Intelligence» more  AIME 2007»
    Interpreting Gene Expression Data by Searching for Enriched Gene Sets
    14 years 1 months ago
    Interpreting Gene Expression Data by Searching for Enriched Gene Sets
    Download  www-ai.ijs.si
    This paper presents a novel method integrating gene-gene interaction information and Gene Ontology for the construction of new gene sets that are potentially enriched. Enrichment o...
    Igor Trajkovski, Nada Lavrac
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    BMCBI
    2008
    113views more  BMCBI 2008»
    A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data
    13 years 7 months ago
    A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data
    Download  www.biomedcentral.com
    Background: Identification of biomarkers among thousands of genes arrayed for disease classification has been the subject of considerable research in recent years. These studies h...
    Liping Huang, Wenying Zhu, Christopher P. Saunders...
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    BMCBI
    2010
    243views more  BMCBI 2010»
    Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
    13 years 7 months ago
    Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
    Download  www.biomedcentral.com
    Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
    Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
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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 9 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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