These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

159 related articles for article (PubMed ID: 20122188)

  • 1. Amino acid classification based spectrum kernel fusion for protein subnuclear localization.
    Mei S; Fei W
    BMC Bioinformatics; 2010 Jan; 11 Suppl 1(Suppl 1):S17. PubMed ID: 20122188
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An ensemble method for predicting subnuclear localizations from primary protein structures.
    Han GS; Yu ZG; Anh V; Krishnajith AP; Tian YC
    PLoS One; 2013; 8(2):e57225. PubMed ID: 23460833
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An SVM-based system for predicting protein subnuclear localizations.
    Lei Z; Dai Y
    BMC Bioinformatics; 2005 Dec; 6():291. PubMed ID: 16336650
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nuc-PLoc: a new web-server for predicting protein subnuclear localization by fusing PseAA composition and PsePSSM.
    Shen HB; Chou KC
    Protein Eng Des Sel; 2007 Nov; 20(11):561-7. PubMed ID: 17993650
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Gene ontology based transfer learning for protein subcellular localization.
    Mei S; Fei W; Zhou S
    BMC Bioinformatics; 2011 Feb; 12():44. PubMed ID: 21284890
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Using Chou's pseudo amino acid composition based on approximate entropy and an ensemble of AdaBoost classifiers to predict protein subnuclear location.
    Jiang X; Wei R; Zhao Y; Zhang T
    Amino Acids; 2008 May; 34(4):669-75. PubMed ID: 18256886
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
    Melvin I; Ie E; Kuang R; Weston J; Stafford WN; Leslie C
    BMC Bioinformatics; 2007 May; 8 Suppl 4(Suppl 4):S2. PubMed ID: 17570145
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting protein subnuclear localization using GO-amino-acid composition features.
    Huang WL; Tung CW; Huang HL; Ho SY
    Biosystems; 2009 Nov; 98(2):73-9. PubMed ID: 19583993
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization.
    Chou KC; Shen HB
    Biochem Biophys Res Commun; 2006 Aug; 347(1):150-7. PubMed ID: 16808903
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Profile-based string kernels for remote homology detection and motif extraction.
    Kuang R; Ie E; Wang K; Wang K; Siddiqi M; Freund Y; Leslie C
    J Bioinform Comput Biol; 2005 Jun; 3(3):527-50. PubMed ID: 16108083
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ProLoc-GO: utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization.
    Huang WL; Tung CW; Ho SW; Hwang SF; Ho SY
    BMC Bioinformatics; 2008 Feb; 9():80. PubMed ID: 18241343
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of Protein Subcellular Localization Based on Fusion of Multi-view Features.
    Li B; Cai L; Liao B; Fu X; Bing P; Yang J
    Molecules; 2019 Mar; 24(5):. PubMed ID: 30845684
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Assessing protein similarity with Gene Ontology and its use in subnuclear localization prediction.
    Lei Z; Dai Y
    BMC Bioinformatics; 2006 Nov; 7():491. PubMed ID: 17090318
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using pseudo amino acid composition to predict protein subnuclear location with improved hybrid approach.
    Li FM; Li QZ
    Amino Acids; 2008 Jan; 34(1):119-25. PubMed ID: 17514493
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing.
    Su EC; Chang JM; Cheng CW; Sung TY; Hsu WL
    BMC Bioinformatics; 2012; 13 Suppl 17(Suppl 17):S13. PubMed ID: 23282098
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Euk-PLoc: an ensemble classifier for large-scale eukaryotic protein subcellular location prediction.
    Shen HB; Yang J; Chou KC
    Amino Acids; 2007 Jul; 33(1):57-67. PubMed ID: 17235453
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition.
    Khan A; Majid A; Hayat M
    Comput Biol Chem; 2011 Aug; 35(4):218-29. PubMed ID: 21864791
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Mismatch string kernels for discriminative protein classification.
    Leslie CS; Eskin E; Cohen A; Weston J; Noble WS
    Bioinformatics; 2004 Mar; 20(4):467-76. PubMed ID: 14990442
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction.
    Sahu SS; Panda G
    Comput Biol Chem; 2010 Dec; 34(5-6):320-7. PubMed ID: 21106461
    [TBL] [Abstract][Full Text] [Related]  

  • 20. IDM-PhyChm-Ens: intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids.
    Ali S; Majid A; Khan A
    Amino Acids; 2014 Apr; 46(4):977-93. PubMed ID: 24390396
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.