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    JCP
    2006
    157views more  JCP 2006»
    CF-GeNe: Fuzzy Framework for Robust Gene Regulatory Network Inference
    13 years 8 months ago
    CF-GeNe: Fuzzy Framework for Robust Gene Regulatory Network Inference
    Download  www.academypublisher.com
    Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper present...
    Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
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    BMCBI
    2005
    161views more  BMCBI 2005»
    Non-linear mapping for exploratory data analysis in functional genomics
    13 years 8 months ago
    Non-linear mapping for exploratory data analysis in functional genomics
    Download  www.biomedcentral.com
    Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
    Francisco Azuaje, Haiying Wang, Alban Chesneau
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    GECCO
    2005
    Springer
    156views Optimization» more  GECCO 2005»
    Extraction of informative genes from microarray data
    14 years 2 months ago
    Extraction of informative genes from microarray data
    Download  www.cs.bham.ac.uk
    Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
    Topon Kumar Paul, Hitoshi Iba
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    SDM
    2009
    SIAM
    251views Data Mining» more  SDM 2009»
    High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
    14 years 5 months ago
    High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
    Download  www.siam.org
    Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
    Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
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    GFKL
    2004
    Springer
    137views Data Mining» more  GFKL 2004»
    Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
    14 years 2 months ago
    Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
    Download  www.mathematik.uni-marburg.de
    Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
    Alfred Ultsch
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