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Journal Abstract Search

238 related items for PubMed ID: 15949806

  • 1.
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  • 2. Using Nearest Feature Line and Tunable Nearest Neighbor methods for prediction of protein subcellular locations.
    Gao QB, Wang ZZ.
    Comput Biol Chem; 2005 Oct; 29(5):388-92. PubMed ID: 16213794
    [Abstract] [Full Text] [Related]

  • 3. Protein location prediction using atomic composition and global features of the amino acid sequence.
    Cherian BS, Nair AS.
    Biochem Biophys Res Commun; 2010 Jan 22; 391(4):1670-4. PubMed ID: 20036215
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  • 4. Prediction of subcellular localization of eukaryotic proteins using position-specific profiles and neural network with weighted inputs.
    Zou L, Wang Z, Huang J.
    J Genet Genomics; 2007 Dec 22; 34(12):1080-7. PubMed ID: 18155620
    [Abstract] [Full Text] [Related]

  • 5. Improved prediction of subcellular location for apoptosis proteins by the dual-layer support vector machine.
    Zhou XB, Chen C, Li ZC, Zou XY.
    Amino Acids; 2008 Aug 22; 35(2):383-8. PubMed ID: 18157588
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  • 6. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
    Garg A, Raghava GP.
    In Silico Biol; 2008 Aug 22; 8(2):129-40. PubMed ID: 18928201
    [Abstract] [Full Text] [Related]

  • 7. AAIndexLoc: predicting subcellular localization of proteins based on a new representation of sequences using amino acid indices.
    Tantoso E, Li KB.
    Amino Acids; 2008 Aug 22; 35(2):345-53. PubMed ID: 18163182
    [Abstract] [Full Text] [Related]

  • 8. Prediction of the subcellular location of prokaryotic proteins based on a new representation of the amino acid composition.
    Feng ZP.
    Biopolymers; 2001 Apr 15; 58(5):491-9. PubMed ID: 11241220
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  • 10. Prediction of protein structural classes by Chou's pseudo amino acid composition: approached using continuous wavelet transform and principal component analysis.
    Li ZC, Zhou XB, Dai Z, Zou XY.
    Amino Acids; 2009 Jul 15; 37(2):415-25. PubMed ID: 18726140
    [Abstract] [Full Text] [Related]

  • 11. A novel algorithm combining support vector machine with the discrete wavelet transform for the prediction of protein subcellular localization.
    Liang RP, Huang SY, Shi SP, Sun XY, Suo SB, Qiu JD.
    Comput Biol Med; 2012 Feb 15; 42(2):180-7. PubMed ID: 22153357
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  • 14. Prediction of subcellular location apoptosis proteins with ensemble classifier and feature selection.
    Gu Q, Ding YS, Jiang XY, Zhang TL.
    Amino Acids; 2010 Apr 15; 38(4):975-83. PubMed ID: 19048186
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  • 15. Ranking Gene Ontology terms for predicting non-classical secretory proteins in eukaryotes and prokaryotes.
    Huang WL.
    J Theor Biol; 2012 Nov 07; 312():105-13. PubMed ID: 22967952
    [Abstract] [Full Text] [Related]

  • 16. Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.
    Song J, Yuan Z, Tan H, Huber T, Burrage K.
    Bioinformatics; 2007 Dec 01; 23(23):3147-54. PubMed ID: 17942444
    [Abstract] [Full Text] [Related]

  • 17. Predicting protein subcellular location: exploiting amino acid based sequence of feature spaces and fusion of diverse classifiers.
    Khan A, Majid A, Choi TS.
    Amino Acids; 2010 Jan 01; 38(1):347-50. PubMed ID: 19198979
    [Abstract] [Full Text] [Related]

  • 18. Genetic programming for creating Chou's pseudo amino acid based features for submitochondria localization.
    Nanni L, Lumini A.
    Amino Acids; 2008 May 01; 34(4):653-60. PubMed ID: 18175047
    [Abstract] [Full Text] [Related]

  • 19. A novel method for apoptosis protein subcellular localization prediction combining encoding based on grouped weight and support vector machine.
    Zhang ZH, Wang ZH, Zhang ZR, Wang YX.
    FEBS Lett; 2006 Nov 13; 580(26):6169-74. PubMed ID: 17069811
    [Abstract] [Full Text] [Related]

  • 20. Prediction of protein subcellular localization.
    Yu CS, Chen YC, Lu CH, Hwang JK.
    Proteins; 2006 Aug 15; 64(3):643-51. PubMed ID: 16752418
    [Abstract] [Full Text] [Related]

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