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Journal Abstract Search

191 related items for PubMed ID: 28764874

  • 1. Machine learning based identification of protein-protein interactions using derived features of physiochemical properties and evolutionary profiles.
    Tahir M, Hayat M.
    Artif Intell Med; 2017 May; 78():61-71. PubMed ID: 28764874
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  • 4. PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein Sequences.
    Wang Y, You Z, Li X, Chen X, Jiang T, Zhang J.
    Int J Mol Sci; 2017 May 11; 18(5):. PubMed ID: 28492483
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  • 5. Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM.
    Wang YB, You ZH, Li LP, Huang YA, Yi HC.
    Molecules; 2017 Aug 18; 22(8):. PubMed ID: 28820478
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  • 6. Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model.
    An JY, Meng FR, You ZH, Chen X, Yan GY, Hu JP.
    Protein Sci; 2016 Oct 18; 25(10):1825-33. PubMed ID: 27452983
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  • 9. RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
    An JY, You ZH, Meng FR, Xu SJ, Wang Y.
    Int J Mol Sci; 2016 May 18; 17(5):. PubMed ID: 27213337
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  • 10. Machine-learning techniques for the prediction of protein-protein interactions.
    Sarkar D, Saha S.
    J Biosci; 2019 Sep 18; 44(4):. PubMed ID: 31502581
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  • 11. StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning.
    Rukh G, Akbar S, Rehman G, Alarfaj FK, Zou Q.
    BMC Bioinformatics; 2024 Aug 04; 25(1):256. PubMed ID: 39098908
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  • 12. 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
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  • 16. Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles.
    Wang YB, You ZH, Li LP, Huang DS, Zhou FF, Yang S.
    Int J Biol Sci; 2018 Jun 27; 14(8):983-991. PubMed ID: 29989064
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  • 17. Advancing the prediction accuracy of protein-protein interactions by utilizing evolutionary information from position-specific scoring matrix and ensemble classifier.
    Wang L, You ZH, Xia SX, Liu F, Chen X, Yan X, Zhou Y.
    J Theor Biol; 2017 Apr 07; 418():105-110. PubMed ID: 28088356
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  • 20. Prediction of oxidoreductase subfamily classes based on RFE-SND-CC-PSSM and machine learning methods.
    Yuan F, Liu G, Yang X, Wang S, Wang X.
    J Bioinform Comput Biol; 2019 Aug 07; 17(4):1950029. PubMed ID: 31617464
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