BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

201 related articles for article (PubMed ID: 34226918)

  • 1. Improving protein fold recognition using triplet network and ensemble deep learning.
    Liu Y; Han K; Zhu YH; Zhang Y; Shen LC; Song J; Yu DJ
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34226918
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation.
    Liu Y; Zhu YH; Song X; Song J; Yu DJ
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33537753
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contacts.
    Zhu J; Zhang H; Li SC; Wang C; Kong L; Sun S; Zheng WM; Bu D
    Bioinformatics; 2017 Dec; 33(23):3749-3757. PubMed ID: 28961795
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
    Wang S; Sun S; Li Z; Zhang R; Xu J
    PLoS Comput Biol; 2017 Jan; 13(1):e1005324. PubMed ID: 28056090
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improving Protein Fold Recognition by Deep Learning Networks.
    Jo T; Hou J; Eickholt J; Cheng J
    Sci Rep; 2015 Dec; 5():17573. PubMed ID: 26634993
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model.
    Yan K; Wen J; Xu Y; Liu B
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2682-2691. PubMed ID: 32356759
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Protein Fold Recognition From Sequences Using Convolutional and Recurrent Neural Networks.
    Villegas-Morcillo A; Gomez AM; Morales-Cordovilla JA; Sanchez V
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2848-2854. PubMed ID: 32750896
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identifying short disorder-to-order binding regions in disordered proteins with a deep convolutional neural network method.
    Fang C; Moriwaki Y; Tian A; Li C; Shimizu K
    J Bioinform Comput Biol; 2019 Feb; 17(1):1950004. PubMed ID: 30866736
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improved protein relative solvent accessibility prediction using deep multi-view feature learning framework.
    Fan XQ; Hu J; Jia NX; Yu DJ; Zhang GJ
    Anal Biochem; 2021 Oct; 631():114358. PubMed ID: 34478704
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ResCNNT-fold: Combining residual convolutional neural network and Transformer for protein fold recognition from language model embeddings.
    Qin X; Liu M; Liu G
    Comput Biol Med; 2023 Nov; 166():107571. PubMed ID: 37864911
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DeepFrag-k: a fragment-based deep learning approach for protein fold recognition.
    Elhefnawy W; Li M; Wang J; Li Y
    BMC Bioinformatics; 2020 Nov; 21(Suppl 6):203. PubMed ID: 33203392
    [TBL] [Abstract][Full Text] [Related]  

  • 12. DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy.
    Xie R; Li J; Wang J; Dai W; Leier A; Marquez-Lago TT; Akutsu T; Lithgow T; Song J; Zhang Y
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32599617
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13.
    Hou J; Wu T; Cao R; Cheng J
    Proteins; 2019 Dec; 87(12):1165-1178. PubMed ID: 30985027
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DeepSF: deep convolutional neural network for mapping protein sequences to folds.
    Hou J; Adhikari B; Cheng J
    Bioinformatics; 2018 Apr; 34(8):1295-1303. PubMed ID: 29228193
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Signal-3L 3.0: Improving Signal Peptide Prediction through Combining Attention Deep Learning with Window-Based Scoring.
    Zhang WX; Pan X; Shen HB
    J Chem Inf Model; 2020 Jul; 60(7):3679-3686. PubMed ID: 32501689
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analysis of deep learning methods for blind protein contact prediction in CASP12.
    Wang S; Sun S; Xu J
    Proteins; 2018 Mar; 86 Suppl 1(Suppl 1):67-77. PubMed ID: 28845538
    [TBL] [Abstract][Full Text] [Related]  

  • 17. PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data.
    Ullah M; Hadi F; Song J; Yu DJ
    Bioinformatics; 2022 Aug; 38(16):4019-4026. PubMed ID: 35771606
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Deep Learning-Based Advances in Protein Structure Prediction.
    Pakhrin SC; Shrestha B; Adhikari B; Kc DB
    Int J Mol Sci; 2021 May; 22(11):. PubMed ID: 34074028
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.