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PUBMED FOR HANDHELDS

Journal Abstract Search


561 related items for PubMed ID: 28155718

  • 1. 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
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  • 2. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.
    Li ZW, You ZH, Chen X, Li LP, Huang DS, Yan GY, Nie R, Huang YA.
    Oncotarget; 2017 Apr 04; 8(14):23638-23649. PubMed ID: 28423569
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  • 3. 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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  • 4. Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding.
    Huang YA, You ZH, Chen X, Chan K, Luo X.
    BMC Bioinformatics; 2016 Apr 26; 17(1):184. PubMed ID: 27112932
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  • 5. Prediction of Protein-Protein Interactions from Amino Acid Sequences Based on Continuous and Discrete Wavelet Transform Features.
    Wang T, Li L, Huang YA, Zhang H, Ma Y, Zhou X.
    Molecules; 2018 Apr 04; 23(4):. PubMed ID: 29617272
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  • 6. Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest.
    You ZH, Chan KC, Hu P.
    PLoS One; 2015 Apr 04; 10(5):e0125811. PubMed ID: 25946106
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  • 7. Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach.
    Tian B, Wu X, Chen C, Qiu W, Ma Q, Yu B.
    J Theor Biol; 2019 Feb 07; 462():329-346. PubMed ID: 30452960
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  • 10. Protein-Protein Interactions Prediction Based on Graph Energy and Protein Sequence Information.
    Xu D, Xu H, Zhang Y, Chen W, Gao R.
    Molecules; 2020 Apr 16; 25(8):. PubMed ID: 32316294
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  • 11. Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein Sequence.
    Huang YA, You ZH, Gao X, Wong L, Wang L.
    Biomed Res Int; 2015 Apr 16; 2015():902198. PubMed ID: 26634213
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  • 12. 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 16; 25(10):1825-33. PubMed ID: 27452983
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  • 15. 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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  • 18. Highly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical Characteristics.
    Li ZW, You ZH, Chen X, Gui J, Nie R.
    Int J Mol Sci; 2016 Aug 25; 17(9):. PubMed ID: 27571061
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  • 20. Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences.
    Wang J, Zhang L, Jia L, Ren Y, Yu G.
    Int J Mol Sci; 2017 Nov 08; 18(11):. PubMed ID: 29117139
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