BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

244 related articles for article (PubMed ID: 28763690)

  • 1. Protein secondary structure prediction: A survey of the state of the art.
    Jiang Q; Jin X; Lee SJ; Yao S
    J Mol Graph Model; 2017 Sep; 76():379-402. PubMed ID: 28763690
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks.
    Guo Y; Wang B; Li W; Yang B
    J Bioinform Comput Biol; 2018 Oct; 16(5):1850021. PubMed ID: 30419785
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Protein secondary structure prediction.
    Pirovano W; Heringa J
    Methods Mol Biol; 2010; 609():327-48. PubMed ID: 20221928
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Statistical geometry based prediction of nonsynonymous SNP functional effects using random forest and neuro-fuzzy classifiers.
    Barenboim M; Masso M; Vaisman II; Jamison DC
    Proteins; 2008 Jun; 71(4):1930-9. PubMed ID: 18186470
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Structural class prediction of protein using novel feature extraction method from chaos game representation of predicted secondary structure.
    Zhang L; Kong L; Han X; Lv J
    J Theor Biol; 2016 Jul; 400():1-10. PubMed ID: 27084358
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluation of methods for predicting the topology of beta-barrel outer membrane proteins and a consensus prediction method.
    Bagos PG; Liakopoulos TD; Hamodrakas SJ
    BMC Bioinformatics; 2005 Jan; 6():7. PubMed ID: 15647112
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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; 34(12):1080-7. PubMed ID: 18155620
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Knowledge base and neural network approach for protein secondary structure prediction.
    Patel MS; Mazumdar HS
    J Theor Biol; 2014 Nov; 361():182-9. PubMed ID: 25128736
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of protein secondary structure using probability based features and a hybrid system.
    Ghanty P; Pal NR; Mudi RK
    J Bioinform Comput Biol; 2013 Oct; 11(5):1350012. PubMed ID: 24131056
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments.
    Zheng C; Kurgan L
    BMC Bioinformatics; 2008 Oct; 9():430. PubMed ID: 18847492
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving protein secondary structure prediction using a multi-modal BP method.
    Qu W; Sui H; Yang B; Qian W
    Comput Biol Med; 2011 Oct; 41(10):946-59. PubMed ID: 21880310
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Protein secondary structure prediction based on the fuzzy support vector machine with the hyperplane optimization.
    Xie S; Li Z; Hu H
    Gene; 2018 Feb; 642():74-83. PubMed ID: 29104167
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning methods for protein structure prediction.
    Cheng J; Tegge AN; Baldi P
    IEEE Rev Biomed Eng; 2008; 1():41-9. PubMed ID: 22274898
    [TBL] [Abstract][Full Text] [Related]  

  • 14. PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture.
    Cao X; He W; Chen Z; Li Y; Wang K; Zhang H; Wei L; Cui L; Su R; Wei L
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34117740
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Similarity/dissimilarity calculation methods of DNA sequences: A survey.
    Jin X; Jiang Q; Chen Y; Lee SJ; Nie R; Yao S; Zhou D; He K
    J Mol Graph Model; 2017 Sep; 76():342-355. PubMed ID: 28763687
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dimensionality reduction for protein secondary structure and solvent accesibility prediction.
    Aydin Z; Kaynar O; Görmez Y
    J Bioinform Comput Biol; 2018 Oct; 16(5):1850020. PubMed ID: 30353781
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of protein binding sites in protein structures using hidden Markov support vector machine.
    Liu B; Wang X; Lin L; Tang B; Dong Q; Wang X
    BMC Bioinformatics; 2009 Nov; 10():381. PubMed ID: 19925685
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prior knowledge facilitates low homologous protein secondary structure prediction with DSM distillation.
    Wang Q; Wei J; Zhou Y; Lin M; Ren R; Wang S; Cui S; Li Z
    Bioinformatics; 2022 Jul; 38(14):3574-3581. PubMed ID: 35652719
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On predicting secondary structure transition.
    Loganantharaj R; Philip V
    Int J Bioinform Res Appl; 2007; 3(4):446-55. PubMed ID: 18048311
    [TBL] [Abstract][Full Text] [Related]  

  • 20. PSOFuzzySVM-TMH: identification of transmembrane helix segments using ensemble feature space by incorporated fuzzy support vector machine.
    Hayat M; Tahir M
    Mol Biosyst; 2015 Aug; 11(8):2255-62. PubMed ID: 26054033
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.