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    BIOINFORMATICS
    2007
    195views more  BIOINFORMATICS 2007»
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    13 years 7 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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    BMCBI
    2007
    176views more  BMCBI 2007»
    Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
    13 years 7 months ago
    Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
    Download  www.biomedcentral.com
    Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be use...
    Markus Weniger, Julia C. Engelmann, Jörg Schu...
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    ACAL
    2007
    Springer
    161views Artificial Intelligence» more  ACAL 2007»
    An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity
    14 years 1 months ago
    An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity
    Download  www.cs.newcastle.edu.au
    Abstract. This paper illustrates how the Quadratic Assignment Problem (QAP) is used as a mathematical model that helps to produce a visualization of microarray data, based on the r...
    Mario Inostroza-Ponta, Alexandre Mendes, Regina Be...
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    BMCBI
    2007
    134views more  BMCBI 2007»
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    13 years 7 months ago
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    Download  www.biomedcentral.com
    Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
    Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
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    BMCBI
    2004
    181views more  BMCBI 2004»
    Iterative class discovery and feature selection using Minimal Spanning Trees
    13 years 7 months ago
    Iterative class discovery and feature selection using Minimal Spanning Trees
    Download  www.biomedcentral.com
    Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
    Sudhir Varma, Richard Simon
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