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 *

126 related articles for article (PubMed ID: 28807723)

  • 1. Identifying consistent disease subnetworks using DNet.
    Peng J; Lu J; Shang X; Chen J
    Methods; 2017 Dec; 131():104-110. PubMed ID: 28807723
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Finding consistent disease subnetworks using PFSNet.
    Lim K; Wong L
    Bioinformatics; 2014 Jan; 30(2):189-96. PubMed ID: 24292362
    [TBL] [Abstract][Full Text] [Related]  

  • 3. System Biology Approach: Gene Network Analysis for Muscular Dystrophy.
    Censi F; Calcagnini G; Mattei E; Giuliani A
    Methods Mol Biol; 2018; 1687():75-89. PubMed ID: 29067657
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Finding consistent disease subnetworks across microarray datasets.
    Soh D; Dong D; Guo Y; Wong L
    BMC Bioinformatics; 2011; 12 Suppl 13(Suppl 13):S15. PubMed ID: 22372958
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Gene expression profiling of Duchenne muscular dystrophy reveals characteristics along disease progression.
    Tian LJ; Cao JH; Deng XQ; Zhang CL; Qian T; Song XX; Huang BS
    Genet Mol Res; 2014 Feb; 13(1):1402-11. PubMed ID: 24634239
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Novel approach to meta-analysis of microarray datasets reveals muscle remodeling-related drug targets and biomarkers in Duchenne muscular dystrophy.
    Kotelnikova E; Shkrob MA; Pyatnitskiy MA; Ferlini A; Daraselia N
    PLoS Comput Biol; 2012 Feb; 8(2):e1002365. PubMed ID: 22319435
    [TBL] [Abstract][Full Text] [Related]  

  • 8. BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency.
    Shi X; Wang X; Shajahan A; Hilakivi-Clarke L; Clarke R; Xuan J
    BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S10. PubMed ID: 26099273
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Mining maximal cohesive induced subnetworks and patterns by integrating biological networks with gene profile data.
    Alroobi R; Ahmed S; Salem S
    Interdiscip Sci; 2013 Sep; 5(3):211-24. PubMed ID: 24307412
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dysregulated mechanisms underlying Duchenne muscular dystrophy from co-expression network preservation analysis.
    Mukund K; Subramaniam S
    BMC Res Notes; 2015 May; 8():182. PubMed ID: 25935398
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Gene regulation networks in early phase of Duchenne muscular dystrophy.
    Bernardini C; Censi F; Lattanzi W; Calcagnini G; Giuliani A
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(2):393-400. PubMed ID: 23929863
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A scalable approach for discovering conserved active subnetworks across species.
    Deshpande R; Sharma S; Verfaillie CM; Hu WS; Myers CL
    PLoS Comput Biol; 2010 Dec; 6(12):e1001028. PubMed ID: 21170309
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Analyse multiple disease subtypes and build associated gene networks using genome-wide expression profiles.
    Aibar S; Fontanillo C; Droste C; Roson-Burgo B; Campos-Laborie FJ; Hernandez-Rivas JM; De Las Rivas J
    BMC Genomics; 2015; 16 Suppl 5(Suppl 5):S3. PubMed ID: 26040557
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Muscle genome-wide expression profiling during disease evolution in mdx mice.
    Marotta M; Ruiz-Roig C; Sarria Y; Peiro JL; Nuñez F; Ceron J; Munell F; Roig-Quilis M
    Physiol Genomics; 2009 Apr; 37(2):119-32. PubMed ID: 19223608
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Node-based learning of differential networks from multi-platform gene expression data.
    Ou-Yang L; Zhang XF; Wu M; Li XL
    Methods; 2017 Oct; 129():41-49. PubMed ID: 28579401
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Gene expression complex networks: synthesis, identification, and analysis.
    Lopes FM; Cesar RM; Costa Lda F
    J Comput Biol; 2011 Oct; 18(10):1353-67. PubMed ID: 21548810
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying gene subnetworks associated with clinical outcome in ovarian cancer using Network Based Coalition Game.
    Razi A; Afghah F; Varadan V
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():6509-13. PubMed ID: 26737784
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasets.
    Liu LZ; Wu FX; Zhang WJ
    BMC Syst Biol; 2014; 8 Suppl 3(Suppl 3):S1. PubMed ID: 25350697
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Network legos: building blocks of cellular wiring diagrams.
    Murali TM; Rivera CG
    J Comput Biol; 2008 Sep; 15(7):829-44. PubMed ID: 18707557
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ReTRN: a retriever of real transcriptional regulatory network and expression data for evaluating structure learning algorithm.
    Li Y; Zhu Y; Bai X; Cai H; Ji W; Guo D
    Genomics; 2009 Nov; 94(5):349-54. PubMed ID: 19712740
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.