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 *

56 related articles for article (PubMed ID: 17094272)

  • 41. Synthesis and evaluation of anticancer activity of 2-arylamino-6-trifluoromethyl-3-(hydrazonocarbonyl)pyridines.
    Onnis V; Cocco MT; Fadda R; Congiu C
    Bioorg Med Chem; 2009 Sep; 17(17):6158-65. PubMed ID: 19679483
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Estimation of cancer drug potencies and relative potencies from in vitro data.
    Le Chap T; Grambsch PM; Liu A
    J Biopharm Stat; 2005; 15(6):903-12. PubMed ID: 16279350
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Systematic assessment of analytical methods for drug sensitivity prediction from cancer cell line data.
    Jang IS; Neto EC; Guinney J; Friend SH; Margolin AA
    Pac Symp Biocomput; 2014; ():63-74. PubMed ID: 24297534
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Data explosion: bringing order to chaos with bioinformatics.
    Schmidt CW
    Environ Health Perspect; 2003 May; 111(6):A340-5. PubMed ID: 12760839
    [No Abstract]   [Full Text] [Related]  

  • 45. Investigation of model stacking for drug sensitivity prediction.
    Matlock K; De Niz C; Rahman R; Ghosh S; Pal R
    BMC Bioinformatics; 2018 Mar; 19(Suppl 3):71. PubMed ID: 29589559
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Improved large-scale prediction of growth inhibition patterns using the NCI60 cancer cell line panel.
    Cortés-Ciriano I; van Westen GJ; Bouvier G; Nilges M; Overington JP; Bender A; Malliavin TE
    Bioinformatics; 2016 Jan; 32(1):85-95. PubMed ID: 26351271
    [TBL] [Abstract][Full Text] [Related]  

  • 47. A functional genomic study on NCI's anticancer drug screen.
    Li KC; Yuan S
    Pharmacogenomics J; 2004; 4(2):127-35. PubMed ID: 14993929
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Predicting tumor cell line response to drug pairs with deep learning.
    Xia F; Shukla M; Brettin T; Garcia-Cardona C; Cohn J; Allen JE; Maslov S; Holbeck SL; Doroshow JH; Evrard YA; Stahlberg EA; Stevens RL
    BMC Bioinformatics; 2018 Dec; 19(Suppl 18):486. PubMed ID: 30577754
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Evaluation of chemosensitivity prediction using quantitative dose-response curve classification for highly advanced/relapsed gastric cancer.
    Matsuo T; Nishizuka SS; Ishida K; Endo F; Katagiri H; Kume K; Ikeda M; Koeda K; Wakabayashi G
    World J Surg Oncol; 2013 Jan; 11():11. PubMed ID: 23339659
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Data mining the NCI cancer cell line compound GI(50) values: identifying quinone subtypes effective against melanoma and leukemia cell classes.
    Marx KA; O'Neil P; Hoffman P; Ujwal ML
    J Chem Inf Comput Sci; 2003; 43(5):1652-67. PubMed ID: 14502500
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Pharmacogenomic analysis: correlating molecular substructure classes with microarray gene expression data.
    Blower PE; Yang C; Fligner MA; Verducci JS; Yu L; Richman S; Weinstein JN
    Pharmacogenomics J; 2002; 2(4):259-71. PubMed ID: 12196914
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Differential gene expression as a potential classifier of 2-(4-amino-3-methylphenyl)-5-fluorobenzothiazole-sensitive and -insensitive cell lines.
    Wallqvist A; Connelly J; Sausville EA; Covell DG; Monks A
    Mol Pharmacol; 2006 Mar; 69(3):737-48. PubMed ID: 16332985
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Stepwise group sparse regression (SGSR): gene-set-based pharmacogenomic predictive models with stepwise selection of functional priors.
    Jang IS; Dienstmann R; Margolin AA; Guinney J
    Pac Symp Biocomput; 2015; 20():32-43. PubMed ID: 25592566
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Learning a predictive model for growth inhibition from the NCI DTP human tumor cell line screening data: does gene expression make a difference?
    Richter L; Rückert U; Kramer S
    Pac Symp Biocomput; 2006; ():596-607. PubMed ID: 17094272
    [TBL] [Abstract][Full Text] [Related]  

  • 55.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 56.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Previous]     [New Search]
    of 3.