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 *

164 related articles for article (PubMed ID: 20215087)

  • 1. Identifying protein-kinase-specific phosphorylation sites based on the Bagging-AdaBoost ensemble approach.
    Yu Z; Deng Z; Wong HS; Tan L
    IEEE Trans Nanobioscience; 2010 Jun; 9(2):132-43. PubMed ID: 20215087
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites.
    Huang HD; Lee TY; Tzeng SW; Horng JT
    Nucleic Acids Res; 2005 Jul; 33(Web Server issue):W226-9. PubMed ID: 15980458
    [TBL] [Abstract][Full Text] [Related]  

  • 4. KinasePhos 2.0: a web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patterns.
    Wong YH; Lee TY; Liang HK; Huang CM; Wang TY; Yang YH; Chu CH; Huang HD; Ko MT; Hwang JK
    Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W588-94. PubMed ID: 17517770
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Incorporating hidden Markov models for identifying protein kinase-specific phosphorylation sites.
    Huang HD; Lee TY; Tzeng SW; Wu LC; Horng JT; Tsou AP; Huang KT
    J Comput Chem; 2005 Jul; 26(10):1032-41. PubMed ID: 15889432
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mito-GSAAC: mitochondria prediction using genetic ensemble classifier and split amino acid composition.
    Afridi TH; Khan A; Lee YS
    Amino Acids; 2012 Apr; 42(4):1443-54. PubMed ID: 21445589
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of subcellular location apoptosis proteins with ensemble classifier and feature selection.
    Gu Q; Ding YS; Jiang XY; Zhang TL
    Amino Acids; 2010 Apr; 38(4):975-83. PubMed ID: 19048186
    [TBL] [Abstract][Full Text] [Related]  

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

  • 9. PPSP: prediction of PK-specific phosphorylation site with Bayesian decision theory.
    Xue Y; Li A; Wang L; Feng H; Yao X
    BMC Bioinformatics; 2006 Mar; 7():163. PubMed ID: 16549034
    [TBL] [Abstract][Full Text] [Related]  

  • 10. GPS 2.1: enhanced prediction of kinase-specific phosphorylation sites with an algorithm of motif length selection.
    Xue Y; Liu Z; Cao J; Ma Q; Gao X; Wang Q; Jin C; Zhou Y; Wen L; Ren J
    Protein Eng Des Sel; 2011 Mar; 24(3):255-60. PubMed ID: 21062758
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Protein function prediction via graph kernels.
    Borgwardt KM; Ong CS; Schönauer S; Vishwanathan SV; Smola AJ; Kriegel HP
    Bioinformatics; 2005 Jun; 21 Suppl 1():i47-56. PubMed ID: 15961493
    [TBL] [Abstract][Full Text] [Related]  

  • 12. GPCR-MPredictor: multi-level prediction of G protein-coupled receptors using genetic ensemble.
    Naveed M; Khan A
    Amino Acids; 2012 May; 42(5):1809-23. PubMed ID: 21505826
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of protein solvent accessibility using support vector machines.
    Yuan Z; Burrage K; Mattick JS
    Proteins; 2002 Aug; 48(3):566-70. PubMed ID: 12112679
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition.
    Wang SQ; Yang J; Chou KC
    J Theor Biol; 2006 Oct; 242(4):941-6. PubMed ID: 16806277
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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; 8(2):129-40. PubMed ID: 18928201
    [TBL] [Abstract][Full Text] [Related]  

  • 16. GPS: a novel group-based phosphorylation predicting and scoring method.
    Zhou FF; Xue Y; Chen GL; Yao X
    Biochem Biophys Res Commun; 2004 Dec; 325(4):1443-8. PubMed ID: 15555589
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Signal-3L: A 3-layer approach for predicting signal peptides.
    Shen HB; Chou KC
    Biochem Biophys Res Commun; 2007 Nov; 363(2):297-303. PubMed ID: 17880924
    [TBL] [Abstract][Full Text] [Related]  

  • 18. GANNPhos: a new phosphorylation site predictor based on a genetic algorithm integrated neural network.
    Tang YR; Chen YZ; Canchaya CA; Zhang Z
    Protein Eng Des Sel; 2007 Aug; 20(8):405-12. PubMed ID: 17652129
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Kinase-specific prediction of protein phosphorylation sites.
    Miller ML; Blom N
    Methods Mol Biol; 2009; 527():299-310, x. PubMed ID: 19241022
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Rotation forest: A new classifier ensemble method.
    Rodríguez JJ; Kuncheva LI; Alonso CJ
    IEEE Trans Pattern Anal Mach Intell; 2006 Oct; 28(10):1619-30. PubMed ID: 16986543
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.