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 *

117 related articles for article (PubMed ID: 30908237)

  • 1. Causal Disturbance Analysis: A Novel Graph Centrality Based Method for Pathway Enrichment Analysis.
    Yeganeh PN; Mostafavi MT
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(5):1613-1624. PubMed ID: 30908237
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Revisiting the use of graph centrality models in biological pathway analysis.
    Naderi Yeganeh P; Richardson C; Saule E; Loraine A; Taghi Mostafavi M
    BioData Min; 2020; 13():5. PubMed ID: 32549913
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A simple null model for inferences from network enrichment analysis.
    Jeuken GS; Käll L
    PLoS One; 2018; 13(11):e0206864. PubMed ID: 30412619
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Centrality-based pathway enrichment: a systematic approach for finding significant pathways dominated by key genes.
    Gu Z; Liu J; Cao K; Zhang J; Wang J
    BMC Syst Biol; 2012 Jun; 6():56. PubMed ID: 22672776
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of Potential Hub Genes and Signal Pathways Promoting the Distinct Biological Features of Cord Blood-Derived Endothelial Progenitor Cells Via Bioinformatics.
    Wang Q; Chen S; Wu J; Liu D; Jiang N; Wang B; Zhai J; Liu Z
    Genet Test Mol Biomarkers; 2020 Sep; 24(9):549-561. PubMed ID: 32744910
    [No Abstract]   [Full Text] [Related]  

  • 6. Bioinformatics Analysis of Key Genes and Pathways Associated with Thrombosis in Essential Thrombocythemia.
    Guo C; Li Z
    Med Sci Monit; 2019 Dec; 25():9262-9271. PubMed ID: 31801935
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Topological centrality-based identification of hub genes and pathways associated with acute viral respiratory infection in infants.
    Liu XY; Li GQ; Ma Y; Zhao LJ
    Genet Mol Res; 2015 Dec; 14(4):18334-43. PubMed ID: 26782481
    [TBL] [Abstract][Full Text] [Related]  

  • 8. In silico perturbation of drug targets in pan-cancer analysis combining multiple networks and pathways.
    Cava C; Castiglioni I
    Gene; 2019 May; 698():100-106. PubMed ID: 30840853
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Analyzing the pathways enriched in genes associated with nicotine dependence in the context of human protein-protein interaction network.
    Hu Y; Fang Z; Yang Y; Fan T; Wang J
    J Biomol Struct Dyn; 2019 Mar; 37(5):1177-1188. PubMed ID: 29546796
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
    Xu Z; Jiang P; He S
    Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MICRAT: a novel algorithm for inferring gene regulatory networks using time series gene expression data.
    Yang B; Xu Y; Maxwell A; Koh W; Gong P; Zhang C
    BMC Syst Biol; 2018 Dec; 12(Suppl 7):115. PubMed ID: 30547796
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applying attractor dynamics to infer gene regulatory interactions involved in cellular differentiation.
    Ghaffarizadeh A; Podgorski GJ; Flann NS
    Biosystems; 2017 May; 155():29-41. PubMed ID: 28254369
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis.
    Liu L; He C; Zhou Q; Wang G; Lv Z; Liu J
    J Cell Physiol; 2019 Dec; 234(12):23647-23657. PubMed ID: 31169306
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Discovering novel cancer bio-markers in acquired lapatinib resistance using Bayesian methods.
    Azad AKM; Alyami SA
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33857297
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bioinformatics methods for identifying differentially expressed genes and signaling pathways in nano-silica stimulated macrophages.
    Zhang L; Hao C; Li J; Qu Y; Bao L; Li Y; Yue Z; Zhang M; Yu X; Chen H; Zhang J; Wang D; Yao W
    Tumour Biol; 2017 Jun; 39(6):1010428317709284. PubMed ID: 28653889
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Skt11-regulated genes in chondrocytes by integrated bioinformatics analysis.
    Liang S; Zhang JM; Lv ZT; Cheng P; Zhu WT; Chen AM
    Gene; 2018 Nov; 677():340-348. PubMed ID: 30107230
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pathway and Network Analysis of Differentially Expressed Genes in Transcriptomes.
    Huang Q; Sun MA; Yan P
    Methods Mol Biol; 2018; 1751():35-55. PubMed ID: 29508288
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of significant ego networks and pathways in rheumatoid arthritis.
    Zhou WZ; Miao LG; Yuan H
    J Cancer Res Ther; 2018 Dec; 14(Supplement):S1024-S1028. PubMed ID: 30539840
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gene network in pulmonary tuberculosis based on bioinformatic analysis.
    Li L; Lv J; He Y; Wang Z
    BMC Infect Dis; 2020 Aug; 20(1):612. PubMed ID: 32811479
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
    Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
    Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.