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    APBC
    2004
    90views Bioinformatics» more  APBC 2004»
    A Rapid Method of Whole Genome Visualisation Illustrating Features in Both Coding and Non-coding Regions
    14 years 8 days ago
    A Rapid Method of Whole Genome Visualisation Illustrating Features in Both Coding and Non-coding Regions
    Download  crpit.com
    The application of Fourier analysis to a genome can be used as an indicator of gene coding regions. We have developed a visualisation of the Fourier spectra that allows convenient...
    Ross Hall, Linda Stern
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    ESANN
    2006
    109views Neural Networks» more  ESANN 2006»
    Sanger-driven MDSLocalize - a comparative study for genomic data
    14 years 8 days ago
    Sanger-driven MDSLocalize - a comparative study for genomic data
    Download  www.dice.ucl.ac.be
    Multidimensional scaling (MDS) methods are designed to establish a one-to-one correspondence of input-output relationships. While the input may be given as high-dimensional data it...
    Marc Strickert, Nese Sreenivasulu, Udo Seiffert
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    PSB
    2004
    90views Applied Computing» more  PSB 2004»
    Phylogenetic Motif Detection by Expectation-Maximization on Evolutionary Mixtures
    14 years 7 days ago
    Phylogenetic Motif Detection by Expectation-Maximization on Evolutionary Mixtures
    Download  rana.lbl.gov
    ct The preferential conservation of transcription factor binding sites implies that non-coding sequence data from related species will prove a powerful asset to motif discovery. We...
    Alan M. Moses, Derek Y. Chiang, Michael B. Eisen
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    PSB
    2004
    91views Applied Computing» more  PSB 2004»
    Motif Discovery in Heterogeneous Sequence Data
    14 years 7 days ago
    Motif Discovery in Heterogeneous Sequence Data
    Download  www.cs.washington.edu
    This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome...
    Amol Prakash, Mathieu Blanchette, Saurabh Sinha, M...
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    NIPS
    2003
    151views Information Technology» more  NIPS 2003»
    Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
    14 years 7 days ago
    Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
    Download  books.nips.cc
    New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
    Claudio Gentile
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