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Journal Abstract Search

59 related items for PubMed ID: 19631664

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  • 5. Prediction of subcellular protein localization based on functional domain composition.
    Jia P, Qian Z, Zeng Z, Cai Y, Li Y.
    Biochem Biophys Res Commun; 2007 Jun 01; 357(2):366-70. PubMed ID: 17428441
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  • 8. Prediction of Saccharomyces cerevisiae protein functional class from functional domain composition.
    Cai YD, Doig AJ.
    Bioinformatics; 2004 May 22; 20(8):1292-300. PubMed ID: 14976029
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  • 9. An information-theoretic approach to the prediction of protein structural class.
    Zheng X, Li C, Wang J.
    J Comput Chem; 2010 Apr 30; 31(6):1201-6. PubMed ID: 19777491
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  • 11. Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes.
    Zhou XB, Chen C, Li ZC, Zou XY.
    J Theor Biol; 2007 Oct 07; 248(3):546-51. PubMed ID: 17628605
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  • 14. A Naive Bayes classifier for protein function prediction.
    Kohonen J, Talikota S, Corander J, Auvinen P, Arjas E.
    In Silico Biol; 2009 Oct 07; 9(1-2):23-34. PubMed ID: 19537159
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  • 16. Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.
    Han L, Cui J, Lin H, Ji Z, Cao Z, Li Y, Chen Y.
    Proteomics; 2006 Jul 07; 6(14):4023-37. PubMed ID: 16791826
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  • 18. A simplified approach to disulfide connectivity prediction from protein sequences.
    Vincent M, Passerini A, Labbé M, Frasconi P.
    BMC Bioinformatics; 2008 Jan 14; 9():20. PubMed ID: 18194539
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  • 19. Global sequence properties for superfamily prediction: a machine learning approach.
    Dobson RJ, Munroe PB, Caulfield MJ, Saqi MA.
    J Integr Bioinform; 2009 Aug 23; 6(1):109. PubMed ID: 20134076
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  • 20. Prediction of functional class of novel bacterial proteins without the use of sequence similarity by a statistical learning method.
    Cui J, Han LY, Cai CZ, Zheng CJ, Ji ZL, Chen YZ.
    J Mol Microbiol Biotechnol; 2005 Aug 23; 9(2):86-100. PubMed ID: 16319498
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