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 *

108 related articles for article (PubMed ID: 14759643)

  • 1. Application of SVM to predict membrane protein types.
    Cai YD; Ricardo PW; Jen CH; Chou KC
    J Theor Biol; 2004 Feb; 226(4):373-6. PubMed ID: 14759643
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid composition.
    Wang M; Yang J; Liu GP; Xu ZJ; Chou KC
    Protein Eng Des Sel; 2004 Jun; 17(6):509-16. PubMed ID: 15314209
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using complexity measure factor to predict protein subcellular location.
    Xiao X; Shao S; Ding Y; Huang Z; Huang Y; Chou KC
    Amino Acids; 2005 Feb; 28(1):57-61. PubMed ID: 15611847
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Low-frequency Fourier spectrum for predicting membrane protein types.
    Liu H; Wang M; Chou KC
    Biochem Biophys Res Commun; 2005 Oct; 336(3):737-9. PubMed ID: 16140260
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types.
    Shen H; Chou KC
    Biochem Biophys Res Commun; 2005 Aug; 334(1):288-92. PubMed ID: 16002049
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SLLE for predicting membrane protein types.
    Wang M; Yang J; Xu ZJ; Chou KC
    J Theor Biol; 2005 Jan; 232(1):7-15. PubMed ID: 15498588
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Geometry preserving projections algorithm for predicting membrane protein types.
    Wang T; Xia T; Hu XM
    J Theor Biol; 2010 Jan; 262(2):208-13. PubMed ID: 19800352
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM.
    Hayat M; Khan A
    J Theor Biol; 2012 Jan; 292():93-102. PubMed ID: 22001079
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Support vector machines for predicting membrane protein types by using functional domain composition.
    Cai YD; Zhou GP; Chou KC
    Biophys J; 2003 May; 84(5):3257-63. PubMed ID: 12719255
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of protein homo-oligomer types by pseudo amino acid composition: Approached with an improved feature extraction and Naive Bayes Feature Fusion.
    Zhang SW; Pan Q; Zhang HC; Shao ZC; Shi JY
    Amino Acids; 2006 Jun; 30(4):461-8. PubMed ID: 16773245
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition.
    Shen HB; Yang J; Chou KC
    J Theor Biol; 2006 May; 240(1):9-13. PubMed ID: 16197963
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of protein subcellular localization by support vector machines using multi-scale energy and pseudo amino acid composition.
    Shi JY; Zhang SW; Pan Q; Cheng YM; Xie J
    Amino Acids; 2007 Jul; 33(1):69-74. PubMed ID: 17235454
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using pseudo amino acid composition and binary-tree support vector machines to predict protein structural classes.
    Zhang TL; Ding YS
    Amino Acids; 2007 Nov; 33(4):623-9. PubMed ID: 17308864
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition.
    Chen YL; Li QZ
    J Theor Biol; 2007 Sep; 248(2):377-81. PubMed ID: 17572445
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting protein structural class with pseudo-amino acid composition and support vector machine fusion network.
    Chen C; Zhou X; Tian Y; Zou X; Cai P
    Anal Biochem; 2006 Oct; 357(1):116-21. PubMed ID: 16920060
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Prediction of protein subcellular locations by incorporating quasi-sequence-order effect.
    Chou KC
    Biochem Biophys Res Commun; 2000 Nov; 278(2):477-83. PubMed ID: 11097861
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. [Classification of multi-class homo-oligomer based on a novel method of feature extraction from protein primary structure].
    Zhang S; Pan Q; Zhao C; Cheng Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Aug; 24(4):721-6. PubMed ID: 17899731
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.