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Journal Abstract Search

1144 related items for PubMed ID: 29566671

  • 21. Predicting protein-protein interactions using high-quality non-interacting pairs.
    Zhang L, Yu G, Guo M, Wang J.
    BMC Bioinformatics; 2018 Dec 31; 19(Suppl 19):525. PubMed ID: 30598096
    [Abstract] [Full Text] [Related]

  • 22. AE-LGBM: Sequence-based novel approach to detect interacting protein pairs via ensemble of autoencoder and LightGBM.
    Sharma A, Singh B.
    Comput Biol Med; 2020 Oct 31; 125():103964. PubMed ID: 32911276
    [Abstract] [Full Text] [Related]

  • 23. A method for predicting protein complex in dynamic PPI networks.
    Zhang Y, Lin H, Yang Z, Wang J, Liu Y, Sang S.
    BMC Bioinformatics; 2016 Jul 25; 17 Suppl 7(Suppl 7):229. PubMed ID: 27454775
    [Abstract] [Full Text] [Related]

  • 24. Computational probing protein-protein interactions targeting small molecules.
    Wang YC, Chen SL, Deng NY, Wang Y.
    Bioinformatics; 2016 Jan 15; 32(2):226-34. PubMed ID: 26415726
    [Abstract] [Full Text] [Related]

  • 25. Ensemble disease gene prediction by clinical sample-based networks.
    Luo P, Tian LP, Chen B, Xiao Q, Wu FX.
    BMC Bioinformatics; 2020 Mar 11; 21(Suppl 2):79. PubMed ID: 32164526
    [Abstract] [Full Text] [Related]

  • 26. DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction.
    Chen W, Wang S, Song T, Li X, Han P, Gao C.
    BMC Genomics; 2022 Aug 04; 23(1):555. PubMed ID: 35922751
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  • 28. Protein features fusion using attributed network embedding for predicting protein-protein interaction.
    Cao MY, Zainudin S, Daud KM.
    BMC Genomics; 2024 May 13; 25(1):466. PubMed ID: 38741045
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  • 30. An iteration method for identifying yeast essential proteins from heterogeneous network.
    Zhao B, Zhao Y, Zhang X, Zhang Z, Zhang F, Wang L.
    BMC Bioinformatics; 2019 Jun 24; 20(1):355. PubMed ID: 31234779
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  • 32. [Research on Clinical Electrocardiogram Classification Algorithm Based on Ensemble Learning].
    Jin L, Dong J.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Oct 24; 33(5):825-33. PubMed ID: 29714928
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  • 34. Integration of anatomy ontology data with protein-protein interaction networks improves the candidate gene prediction accuracy for anatomical entities.
    Fernando PC, Mabee PM, Zeng E.
    BMC Bioinformatics; 2020 Oct 07; 21(1):442. PubMed ID: 33028186
    [Abstract] [Full Text] [Related]

  • 35. Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.
    Yang F, Fan K, Song D, Lin H.
    BMC Bioinformatics; 2020 Jul 21; 21(1):323. PubMed ID: 32693790
    [Abstract] [Full Text] [Related]

  • 36. DeepPPI: Boosting Prediction of Protein-Protein Interactions with Deep Neural Networks.
    Du X, Sun S, Hu C, Yao Y, Yan Y, Zhang Y.
    J Chem Inf Model; 2017 Jun 26; 57(6):1499-1510. PubMed ID: 28514151
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  • 39. A novel method based on new adaptive LVQ neural network for predicting protein-protein interactions from protein sequences.
    Yousef A, Moghadam Charkari N.
    J Theor Biol; 2013 Nov 07; 336():231-9. PubMed ID: 23911582
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