These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 33726790)

  • 21. Hybrid coexpression link similarity graph clustering for mining biological modules from multiple gene expression datasets.
    Salem S; Ozcaglar C
    BioData Min; 2014; 7():16. PubMed ID: 25221624
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Extracting brain disease-related connectome subgraphs by adaptive dense subgraph discovery.
    Wu Q; Huang X; Culbreth AJ; Waltz JA; Hong LE; Chen S
    Biometrics; 2022 Dec; 78(4):1566-1578. PubMed ID: 34374075
    [TBL] [Abstract][Full Text] [Related]  

  • 23. An algorithm for network motif discovery in biological networks.
    Qin G; Gao L
    Int J Data Min Bioinform; 2012; 6(1):1-16. PubMed ID: 22479815
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A novel algorithm for finding top-k weighted overlapping densest connected subgraphs in dual networks.
    Dondi R; Hosseinzadeh MM; Guzzi PH
    Appl Netw Sci; 2021; 6(1):40. PubMed ID: 34124340
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Discriminative Feature Selection for Uncertain Graph Classification.
    Kong X; Yu PS; Wang X; Ragin AB
    Proc SIAM Int Conf Data Min; 2013; 2013():82-93. PubMed ID: 25949925
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Mining coherent dense subgraphs across massive biological networks for functional discovery.
    Hu H; Yan X; Huang Y; Han J; Zhou XJ
    Bioinformatics; 2005 Jun; 21 Suppl 1():i213-21. PubMed ID: 15961460
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Object Discovery: Soft Attributed Graph Mining.
    Zhang Q; Song X; Shao X; Zhao H; Shibasaki R
    IEEE Trans Pattern Anal Mach Intell; 2016 Mar; 38(3):532-45. PubMed ID: 27046496
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Mining integrated semantic networks for drug repositioning opportunities.
    Mullen J; Cockell SJ; Tipney H; Woollard PM; Wipat A
    PeerJ; 2016; 4():e1558. PubMed ID: 26844016
    [TBL] [Abstract][Full Text] [Related]  

  • 29. cmFSM: a scalable CPU-MIC coordinated drug-finding tool by frequent subgraph mining.
    Yang S; Guo R; Liu R; Liao X; Zou Q; Shi B; Peng S
    BMC Bioinformatics; 2018 May; 19(Suppl 4):98. PubMed ID: 29745832
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Frequent Subgraph Mining of Functional Interaction Patterns Across Multiple Cancers.
    Durmaz A; Henderson TAD; Bebek G
    Pac Symp Biocomput; 2021; 26():261-272. PubMed ID: 33691023
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Graph mining: procedure, application to drug discovery and recent advances.
    Takigawa I; Mamitsuka H
    Drug Discov Today; 2013 Jan; 18(1-2):50-7. PubMed ID: 22889967
    [TBL] [Abstract][Full Text] [Related]  

  • 32. GSNFS: Gene subnetwork biomarker identification of lung cancer expression data.
    Doungpan N; Engchuan W; Chan JH; Meechai A
    BMC Med Genomics; 2016 Dec; 9(Suppl 3):70. PubMed ID: 28117655
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins Using Frequent Subgraph Mining.
    Saha TK; Katebi A; Dhifli W; Al Hasan M
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(5):1537-1549. PubMed ID: 28961123
    [TBL] [Abstract][Full Text] [Related]  

  • 34. The index-based subgraph matching algorithm (ISMA): fast subgraph enumeration in large networks using optimized search trees.
    Demeyer S; Michoel T; Fostier J; Audenaert P; Pickavet M; Demeester P
    PLoS One; 2013; 8(4):e61183. PubMed ID: 23620730
    [TBL] [Abstract][Full Text] [Related]  

  • 35. k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks.
    Liu Q; Chen YP; Li J
    J Theor Biol; 2014 Jan; 340():146-54. PubMed ID: 24056214
    [TBL] [Abstract][Full Text] [Related]  

  • 36. RiboFSM: frequent subgraph mining for the discovery of RNA structures and interactions.
    Gawronski AR; Turcotte M
    BMC Bioinformatics; 2014; 15 Suppl 13(Suppl 13):S2. PubMed ID: 25434643
    [TBL] [Abstract][Full Text] [Related]  

  • 37. SING: subgraph search in non-homogeneous graphs.
    Di Natale R; Ferro A; Giugno R; Mongiovì M; Pulvirenti A; Shasha D
    BMC Bioinformatics; 2010 Feb; 11():96. PubMed ID: 20170516
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A memetic algorithm for finding multiple subgraphs that optimally cover an input network.
    He X; Wang Y; Du H; Feldman MW
    PLoS One; 2023; 18(1):e0280506. PubMed ID: 36662749
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Efficient sampling algorithm for estimating subgraph concentrations and detecting network motifs.
    Kashtan N; Itzkovitz S; Milo R; Alon U
    Bioinformatics; 2004 Jul; 20(11):1746-58. PubMed ID: 15001476
    [TBL] [Abstract][Full Text] [Related]  

  • 40. NIBBS-search for fast and accurate prediction of phenotype-biased metabolic systems.
    Schmidt MC; Rocha AM; Padmanabhan K; Shpanskaya Y; Banfield J; Scott K; Mihelcic JR; Samatova NF
    PLoS Comput Biol; 2012; 8(5):e1002490. PubMed ID: 22589706
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.