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Journal Abstract Search

148 related items for PubMed ID: 29554120

  • 1. Predicting protein complexes using a supervised learning method combined with local structural information.
    Dong Y, Sun Y, Qin C.
    PLoS One; 2018; 13(3):e0194124. PubMed ID: 29554120
    [Abstract] [Full Text] [Related]

  • 2. Molecular complex detection in protein interaction networks through reinforcement learning.
    Palukuri MV, Patil RS, Marcotte EM.
    BMC Bioinformatics; 2023 Aug 02; 24(1):306. PubMed ID: 37532987
    [Abstract] [Full Text] [Related]

  • 3. Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks.
    Liu X, Yang Z, Sang S, Zhou Z, Wang L, Zhang Y, Lin H, Wang J, Xu B.
    BMC Bioinformatics; 2018 Sep 21; 19(1):332. PubMed ID: 30241459
    [Abstract] [Full Text] [Related]

  • 4. Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks.
    Palukuri MV, Marcotte EM.
    PLoS One; 2021 Sep 21; 16(12):e0262056. PubMed ID: 34972161
    [Abstract] [Full Text] [Related]

  • 5. A supervised protein complex prediction method with network representation learning and gene ontology knowledge.
    Wang X, Zhang Y, Zhou P, Liu X.
    BMC Bioinformatics; 2022 Jul 25; 23(1):300. PubMed ID: 35879648
    [Abstract] [Full Text] [Related]

  • 6. Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
    Zhu J, Zheng Z, Yang M, Fung GPC, Huang C.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 Jul 25; 18(2):797-803. PubMed ID: 31581089
    [Abstract] [Full Text] [Related]

  • 7. Using contrast patterns between true complexes and random subgraphs in PPI networks to predict unknown protein complexes.
    Liu Q, Song J, Li J.
    Sci Rep; 2016 Feb 12; 6():21223. PubMed ID: 26868667
    [Abstract] [Full Text] [Related]

  • 8. A Novel Core-Attachment-Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks.
    Xiao Q, Luo P, Li M, Wang J, Wu FX.
    Proteomics; 2019 Mar 12; 19(5):e1800129. PubMed ID: 30650262
    [Abstract] [Full Text] [Related]

  • 9. Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks.
    Palukuri MV, Marcotte EM.
    bioRxiv; 2021 Oct 11. PubMed ID: 34189530
    [Abstract] [Full Text] [Related]

  • 10. 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 11; 106():107935. PubMed ID: 37536230
    [Abstract] [Full Text] [Related]

  • 11. Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining.
    Ma X, Zhou G, Shang J, Wang J, Peng J, Han J.
    J Comput Biol; 2017 Sep 11; 24(9):923-941. PubMed ID: 28570104
    [Abstract] [Full Text] [Related]

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  • 14. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Sep 11; 11(4):616-27. PubMed ID: 26356332
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  • 19. Protein complex detection with semi-supervised learning in protein interaction networks.
    Shi L, Lei X, Zhang A.
    Proteome Sci; 2011 Oct 14; 9 Suppl 1(Suppl 1):S5. PubMed ID: 22165896
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