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Journal Abstract Search

1144 related items for PubMed ID: 29566671

  • 1. Completing sparse and disconnected protein-protein network by deep learning.
    Huang L, Liao L, Wu CH.
    BMC Bioinformatics; 2018 Mar 22; 19(1):103. PubMed ID: 29566671
    [Abstract] [Full Text] [Related]

  • 2. Inference of protein-protein interaction networks from multiple heterogeneous data.
    Huang L, Liao L, Wu CH.
    EURASIP J Bioinform Syst Biol; 2016 Dec 22; 2016(1):8. PubMed ID: 26941784
    [Abstract] [Full Text] [Related]

  • 3. A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.
    Ou-Yang L, Yan H, Zhang XF.
    BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):463. PubMed ID: 29219066
    [Abstract] [Full Text] [Related]

  • 4. Multimodal deep representation learning for protein interaction identification and protein family classification.
    Zhang D, Kabuka M.
    BMC Bioinformatics; 2019 Dec 02; 20(Suppl 16):531. PubMed ID: 31787089
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  • 5. Evolutionary analysis and interaction prediction for protein-protein interaction network in geometric space.
    Huang L, Liao L, Wu CH.
    PLoS One; 2017 Dec 02; 12(9):e0183495. PubMed ID: 28886027
    [Abstract] [Full Text] [Related]

  • 6. Machine-learning techniques for the prediction of protein-protein interactions.
    Sarkar D, Saha S.
    J Biosci; 2019 Sep 02; 44(4):. PubMed ID: 31502581
    [Abstract] [Full Text] [Related]

  • 7. Prediction of problematic complexes from PPI networks: sparse, embedded, and small complexes.
    Yong CH, Wong L.
    Biol Direct; 2015 Aug 01; 10():40. PubMed ID: 26231465
    [Abstract] [Full Text] [Related]

  • 8. Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences.
    Li H, Gong XJ, Yu H, Zhou C.
    Molecules; 2018 Aug 01; 23(8):. PubMed ID: 30071670
    [Abstract] [Full Text] [Related]

  • 9. SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction.
    Li X, Han P, Wang G, Chen W, Wang S, Song T.
    BMC Genomics; 2022 Jun 27; 23(1):474. PubMed ID: 35761175
    [Abstract] [Full Text] [Related]

  • 10. Efficient link prediction in the protein-protein interaction network using topological information in a generative adversarial network machine learning model.
    Balogh OM, Benczik B, Horváth A, Pétervári M, Csermely P, Ferdinandy P, Ágg B.
    BMC Bioinformatics; 2022 Feb 19; 23(1):78. PubMed ID: 35183129
    [Abstract] [Full Text] [Related]

  • 11. Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization.
    Wu Q, Wang Z, Li C, Ye Y, Li Y, Sun N.
    BMC Syst Biol; 2015 Feb 19; 9 Suppl 1(Suppl 1):S9. PubMed ID: 25708164
    [Abstract] [Full Text] [Related]

  • 12. DeepEP: a deep learning framework for identifying essential proteins.
    Zeng M, Li M, Wu FX, Li Y, Pan Y.
    BMC Bioinformatics; 2019 Dec 02; 20(Suppl 16):506. PubMed ID: 31787076
    [Abstract] [Full Text] [Related]

  • 13. Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network.
    Wang YB, You ZH, Li X, Jiang TH, Chen X, Zhou X, Wang L.
    Mol Biosyst; 2017 Jun 27; 13(7):1336-1344. PubMed ID: 28604872
    [Abstract] [Full Text] [Related]

  • 14. [Sparse Denoising Autoencoder Application in Identification of Counterfeit Pharmaceutical].
    Yang HH, Luo ZC, Jiang SJ, Zhang XB, Yin LH.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Sep 27; 36(9):2774-9. PubMed ID: 30084593
    [Abstract] [Full Text] [Related]

  • 15. Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine.
    Lei H, Wen Y, You Z, Elazab A, Tan EL, Zhao Y, Lei B.
    IEEE J Biomed Health Inform; 2019 May 27; 23(3):1290-1303. PubMed ID: 29994278
    [Abstract] [Full Text] [Related]

  • 16. Protein Interaction Network Reconstruction with a Structural Gated Attention Deep Model by Incorporating Network Structure Information.
    Zhu F, Li F, Deng L, Meng F, Liang Z.
    J Chem Inf Model; 2022 Jan 24; 62(2):258-273. PubMed ID: 35005980
    [Abstract] [Full Text] [Related]

  • 17. Predicting Protein-Protein Interactions via Random Ferns with Evolutionary Matrix Representation.
    Li Y, Wang Z, You ZH, Li LP, Hu X.
    Comput Math Methods Med; 2022 Jan 24; 2022():7191684. PubMed ID: 35242211
    [Abstract] [Full Text] [Related]

  • 18. The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction.
    Fang Y, Sun M, Dai G, Ramain K.
    IEEE/ACM Trans Comput Biol Bioinform; 2016 Jan 24; 13(1):76-85. PubMed ID: 26886733
    [Abstract] [Full Text] [Related]

  • 19. Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.
    Huang YA, You ZH, Chen X, Yan GY.
    BMC Syst Biol; 2016 Dec 23; 10(Suppl 4):120. PubMed ID: 28155718
    [Abstract] [Full Text] [Related]

  • 20. SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network.
    Jiang HJ, Huang YA, You ZH.
    Sci Rep; 2020 Mar 18; 10(1):4972. PubMed ID: 32188871
    [Abstract] [Full Text] [Related]

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