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Journal Abstract Search

393 related items for PubMed ID: 16966363

  • 1. Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure.
    Lewis DP, Jebara T, Noble WS.
    Bioinformatics; 2006 Nov 15; 22(22):2753-60. PubMed ID: 16966363
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  • 4. SVM-HUSTLE--an iterative semi-supervised machine learning approach for pairwise protein remote homology detection.
    Shah AR, Oehmen CS, Webb-Robertson BJ.
    Bioinformatics; 2008 Mar 15; 24(6):783-90. PubMed ID: 18245127
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  • 7. Prediction of protein subcellular localization.
    Yu CS, Chen YC, Lu CH, Hwang JK.
    Proteins; 2006 Aug 15; 64(3):643-51. PubMed ID: 16752418
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  • 8. Protein classification based on text document classification techniques.
    Cheng BY, Carbonell JG, Klein-Seetharaman J.
    Proteins; 2005 Mar 01; 58(4):955-70. PubMed ID: 15645499
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  • 10. Profile-based direct kernels for remote homology detection and fold recognition.
    Rangwala H, Karypis G.
    Bioinformatics; 2005 Dec 01; 21(23):4239-47. PubMed ID: 16188929
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  • 11. Remote protein homology detection and fold recognition using two-layer support vector machine classifiers.
    Muda HM, Saad P, Othman RM.
    Comput Biol Med; 2011 Aug 01; 41(8):687-99. PubMed ID: 21704312
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  • 12. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
    Chen Z, Li J, Wei L.
    Artif Intell Med; 2007 Oct 01; 41(2):161-75. PubMed ID: 17851055
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  • 14. Improving gene expression cancer molecular pattern discovery using nonnegative principal component analysis.
    Han X.
    Genome Inform; 2008 Oct 01; 21():200-11. PubMed ID: 19425159
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  • 16. Predicting protein structural class by SVM with class-wise optimized features and decision probabilities.
    Anand A, Pugalenthi G, Suganthan PN.
    J Theor Biol; 2008 Jul 21; 253(2):375-80. PubMed ID: 18423492
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  • 17. Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps.
    Nabieva E, Jim K, Agarwal A, Chazelle B, Singh M.
    Bioinformatics; 2005 Jun 21; 21 Suppl 1():i302-10. PubMed ID: 15961472
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  • 18. Peptide length-based prediction of peptide-MHC class II binding.
    Chang ST, Ghosh D, Kirschner DE, Linderman JJ.
    Bioinformatics; 2006 Nov 15; 22(22):2761-7. PubMed ID: 17000752
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