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    BCBGC
    2008
    135views Bioinformatics» more  BCBGC 2008»
    BMA - Boolean Matrices as Model for Motif Kernels
    13 years 11 months ago
    BMA - Boolean Matrices as Model for Motif Kernels
    Download  www.informatik.uni-kiel.de
    We introduce the data model BM, which specifies kernels of motifs by means of Boolean matrices. Different from position frequency matrices these only specify which bases can appea...
    Jan Schröder, Manfred Schimmler, Heiko Schr&o...
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    NIPS
    2004
    215views Information Technology» more  NIPS 2004»
    Hierarchical Eigensolver for Transition Matrices in Spectral Methods
    13 years 11 months ago
    Hierarchical Eigensolver for Transition Matrices in Spectral Methods
    Download  books.nips.cc
    We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
    Chakra Chennubhotla, Allan D. Jepson
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    VCIP
    2003
    147views Communications» more  VCIP 2003»
    An objective method for combining multiple subjective data sets
    13 years 11 months ago
    An objective method for combining multiple subjective data sets
    Download  www.its.bldrdoc.gov
    International recommendations for subjective video quality assessment (e.g., ITU-R BT.500-11) include specifications for how to perform many different types of subjective tests. I...
    Margaret H. Pinson, Stephen Wolf
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    BMCBI
    2010
    144views more  BMCBI 2010»
    Super-sparse principal component analyses for high-throughput genomic data
    13 years 10 months ago
    Super-sparse principal component analyses for high-throughput genomic data
    Download  www.biomedcentral.com
    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
    2007
    140views more  BMCBI 2007»
    Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
    13 years 10 months ago
    Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
    Download  www.biomedcentral.com
    Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
    Michael Gormley, William Dampier, Adam Ertel, Bilg...
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