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 *

157 related articles for article (PubMed ID: 32075651)

  • 21. MUFFINN: cancer gene discovery via network analysis of somatic mutation data.
    Cho A; Shim JE; Kim E; Supek F; Lehner B; Lee I
    Genome Biol; 2016 Jun; 17(1):129. PubMed ID: 27333808
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Uncovering the subtype-specific temporal order of cancer pathway dysregulation.
    Khakabimamaghani S; Ding D; Snow O; Ester M
    PLoS Comput Biol; 2019 Nov; 15(11):e1007451. PubMed ID: 31710622
    [TBL] [Abstract][Full Text] [Related]  

  • 23. RMut: R package for a Boolean sensitivity analysis against various types of mutations.
    Trinh HC; Kwon YK
    PLoS One; 2019; 14(3):e0213736. PubMed ID: 30889216
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Predicting selective drug targets in cancer through metabolic networks.
    Folger O; Jerby L; Frezza C; Gottlieb E; Ruppin E; Shlomi T
    Mol Syst Biol; 2011 Jun; 7():501. PubMed ID: 21694718
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Inferring the temporal order of cancer gene mutations in individual tumor samples.
    Guo J; Guo H; Wang Z
    PLoS One; 2014; 9(2):e89244. PubMed ID: 24586626
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Cancer Gene Discovery by Network Analysis of Somatic Mutations Using the MUFFINN Server.
    Han H; Lehner B; Lee I
    Methods Mol Biol; 2019; 1907():37-50. PubMed ID: 30542989
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Reduction of complex signaling networks to a representative kernel.
    Kim JR; Kim J; Kwon YK; Lee HY; Heslop-Harrison P; Cho KH
    Sci Signal; 2011 May; 4(175):ra35. PubMed ID: 21632468
    [TBL] [Abstract][Full Text] [Related]  

  • 28. NetDS: a Cytoscape plugin to analyze the robustness of dynamics and feedforward/feedback loop structures of biological networks.
    Le DH; Kwon YK
    Bioinformatics; 2011 Oct; 27(19):2767-8. PubMed ID: 21828085
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Boolean network model for cancer pathways: predicting carcinogenesis and targeted therapy outcomes.
    Fumiã HF; Martins ML
    PLoS One; 2013; 8(7):e69008. PubMed ID: 23922675
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Boolean dynamics of biological networks with multiple coupled feedback loops.
    Kwon YK; Cho KH
    Biophys J; 2007 Apr; 92(8):2975-81. PubMed ID: 17259267
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A systems biology approach for the study of cumulative oncogenes with applications to the MAPK signal transduction pathway.
    Pant DK; Ghosh A
    Biophys Chem; 2006 Jan; 119(1):49-60. PubMed ID: 16185809
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Mean-field Boolean network model of a signal transduction network.
    Kochi N; Matache MT
    Biosystems; 2012; 108(1-3):14-27. PubMed ID: 22212351
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Simplistic pathways or complex networks?
    Jørgensen C; Linding R
    Curr Opin Genet Dev; 2010 Feb; 20(1):15-22. PubMed ID: 20096559
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Targeting oncogenes and tumor suppressors genes to mitigate chemoresistance.
    Fatemian T; Chowdhury EH
    Curr Cancer Drug Targets; 2014; 14(7):599-609. PubMed ID: 25308718
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Remarkable difference of somatic mutation patterns between oncogenes and tumor suppressor genes.
    Liu H; Xing Y; Yang S; Tian D
    Oncol Rep; 2011 Dec; 26(6):1539-46. PubMed ID: 21887471
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Network-based stratification analysis of 13 major cancer types using mutations in panels of cancer genes.
    Zhong X; Yang H; Zhao S; Shyr Y; Li B
    BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S7. PubMed ID: 26099277
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Biophysical simulations and structure-based modeling of residue interaction networks in the tumor suppressor proteins reveal functional role of cancer mutation hotspots in molecular communication.
    Verkhivker GM
    Biochim Biophys Acta Gen Subj; 2019 Jan; 1863(1):210-225. PubMed ID: 30339916
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identifying pathways affected by cancer mutations.
    Iengar P
    Genomics; 2018 Sep; 110(5):318-328. PubMed ID: 29258885
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Computational discovery of dynamic cell line specific Boolean networks from multiplex time-course data.
    Razzaq M; Paulevé L; Siegel A; Saez-Rodriguez J; Bourdon J; Guziolowski C
    PLoS Comput Biol; 2018 Oct; 14(10):e1006538. PubMed ID: 30372442
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Endogenous Molecular-Cellular Network Cancer Theory: A Systems Biology Approach.
    Wang G; Yuan R; Zhu X; Ao P
    Methods Mol Biol; 2018; 1702():215-245. PubMed ID: 29119508
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.