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Journal Abstract Search

242 related items for PubMed ID: 32441001

  • 1. Combining SVM and ECOC for Identification of Protein Complexes from Protein Protein Interaction Networks by Integrating Amino Acids' Physical Properties and Complex Topology.
    Faridoon A, Sikandar A, Imran M, Ghouri S, Sikandar M, Sikandar W.
    Interdiscip Sci; 2020 Sep; 12(3):264-275. PubMed ID: 32441001
    [Abstract] [Full Text] [Related]

  • 2. The combination approach of SVM and ECOC for powerful identification and classification of transcription factor.
    Zheng G, Qian Z, Yang Q, Wei C, Xie L, Zhu Y, Li Y.
    BMC Bioinformatics; 2008 Jun 16; 9():282. PubMed ID: 18554421
    [Abstract] [Full Text] [Related]

  • 3. A New Sequential Forward Feature Selection (SFFS) Algorithm for Mining Best Topological and Biological Features to Predict Protein Complexes from Protein-Protein Interaction Networks (PPINs).
    Younis H, Anwar MW, Khan MUG, Sikandar A, Bajwa UI.
    Interdiscip Sci; 2021 Sep 16; 13(3):371-388. PubMed ID: 33959851
    [Abstract] [Full Text] [Related]

  • 4. A supervised approach to detect protein complex by combining biological and topological properties.
    Yu Y, Wang X, Lin L, Sun C, Wang X.
    Int J Data Min Bioinform; 2013 Sep 16; 8(1):105-21. PubMed ID: 23865168
    [Abstract] [Full Text] [Related]

  • 5. Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks.
    Sahoo TR, Patra S, Vipsita S.
    Comput Biol Chem; 2023 Oct 16; 106():107935. PubMed ID: 37536230
    [Abstract] [Full Text] [Related]

  • 6. Identification of human protein complexes from local sub-graphs of protein-protein interaction network based on random forest with topological structure features.
    Li ZC, Lai YH, Chen LL, Zhou X, Dai Z, Zou XY.
    Anal Chim Acta; 2012 Mar 09; 718():32-41. PubMed ID: 22305895
    [Abstract] [Full Text] [Related]

  • 7. A density-based clustering approach for identifying overlapping protein complexes with functional preferences.
    Hu L, Chan KC.
    BMC Bioinformatics; 2015 May 27; 16():174. PubMed ID: 26013799
    [Abstract] [Full Text] [Related]

  • 8. Identifying protein complexes based on multiple topological structures in PPI networks.
    Chen B, Wu FX.
    IEEE Trans Nanobioscience; 2013 Sep 27; 12(3):165-72. PubMed ID: 23974659
    [Abstract] [Full Text] [Related]

  • 9. MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm.
    Cao B, Luo J, Liang C, Wang S, Song D.
    Comput Biol Chem; 2015 Oct 27; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

  • 10. Identification of protein complexes from multi-relationship protein interaction networks.
    Li X, Wang J, Zhao B, Wu FX, Pan Y.
    Hum Genomics; 2016 Jul 25; 10 Suppl 2(Suppl 2):17. PubMed ID: 27461193
    [Abstract] [Full Text] [Related]

  • 11. Protein-Protein Interaction Identification Using a Similarity-Constrained Graph Model.
    Niu Y, Wu H, Wang Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2019 Jul 25; 16(2):607-616. PubMed ID: 29989990
    [Abstract] [Full Text] [Related]

  • 12. Improved Prediction of Protein-Protein Interaction Mapping on Homo Sapiens by Using Amino Acid Sequence Features in a Supervised Learning Framework.
    Islam MM, Alam MJ, Ahmed FF, Hasan MM, Mollah MNH.
    Protein Pept Lett; 2021 Jul 25; 28(1):74-83. PubMed ID: 32520672
    [Abstract] [Full Text] [Related]

  • 13. From communities to protein complexes: A local community detection algorithm on PPI networks.
    Dilmaghani S, Brust MR, Ribeiro CHC, Kieffer E, Danoy G, Bouvry P.
    PLoS One; 2022 Jul 25; 17(1):e0260484. PubMed ID: 35085263
    [Abstract] [Full Text] [Related]

  • 14. Integration of protein sequence and protein-protein interaction data by hypergraph learning to identify novel protein complexes.
    Xia S, Li D, Deng X, Liu Z, Zhu H, Liu Y, Li D.
    Brief Bioinform; 2024 May 23; 25(4):. PubMed ID: 38851299
    [Abstract] [Full Text] [Related]

  • 15. Remote protein homology detection using recurrence quantification analysis and amino acid physicochemical properties.
    Yang Y, Tantoso E, Li KB.
    J Theor Biol; 2008 May 07; 252(1):145-54. PubMed ID: 18342336
    [Abstract] [Full Text] [Related]

  • 16. Protein fold recognition based on error correcting output codes and SVM.
    Chen Y, Chen Q, Chen F, Zhao Y.
    Protein Pept Lett; 2008 May 07; 15(5):443-7. PubMed ID: 18537732
    [Abstract] [Full Text] [Related]

  • 17. 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]

  • 18. Improving the Detection of Protein Complexes by Predicting Novel Missing Interactome Links in the Protein-Protein Interaction Network.
    Zaki N, Alashwal H.
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul 01; 2018():5041-5044. PubMed ID: 30441473
    [Abstract] [Full Text] [Related]

  • 19. Identification of Protein Complexes Based on Core-Attachment Structure and Combination of Centrality Measures and Biological Properties in PPI Weighted Networks.
    Elahi A, Babamir SM.
    Protein J; 2020 Dec 01; 39(6):681-702. PubMed ID: 33040223
    [Abstract] [Full Text] [Related]

  • 20. Denoising Protein-Protein interaction network via variational graph auto-encoder for protein complex detection.
    Yao H, Guan J, Liu T.
    J Bioinform Comput Biol; 2020 Jun 01; 18(3):2040010. PubMed ID: 32698725
    [Abstract] [Full Text] [Related]

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