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    BMCBI
    2010
    144views more  BMCBI 2010»
    Super-sparse principal component analyses for high-throughput genomic data
    13 years 9 months ago
    Super-sparse principal component analyses for high-throughput genomic data
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    Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
    Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
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    BMCBI
    2010
    154views more  BMCBI 2010»
    Binary image representation of a ligand binding site: its application to efficient sampling of a conformational ensemble
    13 years 9 months ago
    Binary image representation of a ligand binding site: its application to efficient sampling of a conformational ensemble
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    Background: Modelling the ligand binding site of a protein is an important component of understanding proteinligand interactions and is being actively studied. Even if the side ch...
    Edon Sung, Sangsoo Kim, Whanchul Shin
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    BMCBI
    2005
    94views more  BMCBI 2005»
    Measuring similarities between transcription factor binding sites
    13 years 9 months ago
    Measuring similarities between transcription factor binding sites
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    Background: Collections of transcription factor binding profiles (Transfac, Jaspar) are essential to identify regulatory elements in DNA sequences. Subsets of highly similar profi...
    Szymon M. Kielbasa, Didier Gonze, Hanspeter Herzel
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    COR
    2007
    106views more  COR 2007»
    On a stochastic sequencing and scheduling problem
    13 years 9 months ago
    On a stochastic sequencing and scheduling problem
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    We present a framework for solving multistage pure 0–1 programs for a widely used sequencing and scheduling problem with uncertainty in the objective function coefficients, the...
    Antonio Alonso-Ayuso, Laureano F. Escudero, M. Ter...
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    BMCBI
    2011
    268views Artificial Intelligence» more  BMCBI 2011»
    A novel approach to the clustering of microarray data via nonparametric density estimation
    13 years 4 months ago
    A novel approach to the clustering of microarray data via nonparametric density estimation
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    Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
    Riccardo De Bin, Davide Risso
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