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Applications of Signal Processing Techniques to Bioinformatics, Genomics, and Proteomics

Guest Editors: Erchin Serpedin, Ulisses Braga-Neto, Javier Garcia-Frias and Yufei Huang

  1. A method for gene clustering from expression profiles using shape information is presented. The conventional clustering approaches such as K-means assume that genes with similar functions have similar expressi...

    Authors: Travis J Hestilow and Yufei Huang
    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2009 2009:195712
  2. Based on time series gene expressions, cyclic genes can be recognized via spectral analysis and statistical periodicity detection tests. These cyclic genes are usually associated with cyclic biological process...

    Authors: Wentao Zhao, Erchin Serpedin and Edward R. Dougherty
    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2009 2009:683463
  3. Based on gene expression profiles, genes can be partitioned into clusters, which might be associated with biological processes or functions, for example, cell cycle, circadian rhythm, and so forth. This paper ...

    Authors: Wentao Zhao, Erchin Serpedin and Edward R. Dougherty
    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2009 2009:713248
  4. There has been considerable interest recently in the application of bagging in the classification of both gene-expression data and protein-abundance mass spectrometry data. The approach is often justified by t...

    Authors: TT Vu and UM Braga-Neto
    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2009 2009:158368
  5. An approximate representation for the state space of a context-sensitive probabilistic Boolean network has previously been proposed and utilized to devise therapeutic intervention strategies. Whereas the full ...

    Authors: Babak Faryabi, Golnaz Vahedi, Jean-Francois Chamberland, Aniruddha Datta and EdwardR Dougherty
    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2009 2009:360864
  6. While microarrays make it feasible to rapidly investigate many complex biological problems, their multistep fabrication has the proclivity for error at every stage. The standard tactic has been to either ignor...

    Authors: Muhammad Shoaib B Sehgal, Iqbal Gondal, Laurence S Dooley and Ross Coppel
    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2009 2009:717136
  7. Compressive sensing microarrays (CSMs) are DNA-based sensors that operate using group testing and compressive sensing (CS) principles. In contrast to conventional DNA microarrays, in which each genetic sensor ...

    Authors: Wei Dai, Mona A Sheikh, Olgica Milenkovic and Richard G Baraniuk
    Citation: EURASIP Journal on Bioinformatics and Systems Biology 2008 2009:162824