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Consistency in drug response profiling

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A Brief Communications Arising to this article was published on 30 November 2016

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Figure 1: Consistency between drug response profiles across FIMM, CCLE and CGP.

References

  1. Haibe-Kains, B. et al. Inconsistency in large pharmacogenomic studies. Nature 504, 389–393 (2013)

    Article  CAS  ADS  Google Scholar 

  2. Garnett, M. J. et al. Systematic identification of genomic markers of drug sensitivity in cancer cells. Nature 483, 570–575 (2012)

    Article  CAS  ADS  Google Scholar 

  3. Barretina, J. et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature 483, 603–607 (2012)

    Article  CAS  ADS  Google Scholar 

  4. Weinstein, J. N. & Lorenzi, P. L. Cancer: Discrepancies in drug sensitivity. Nature 504, 381–383 (2013)

    Article  CAS  ADS  Google Scholar 

  5. Yadav, B. et al. Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies. Sci. Rep. 4, 5193 (2014)

    Article  CAS  Google Scholar 

  6. Pemovska, T. et al. Individualized systems medicine strategy to tailor treatments for patients with chemorefractory acute myeloid leukemia. Cancer Discov. 3, 1416–1429 (2013)

    Article  CAS  Google Scholar 

  7. Brazma, A. et al. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat. Genet. 29, 365–371 (2001)

    Article  CAS  Google Scholar 

  8. Levenberg, K. A method for the solution of certain problems in least squares. Q. Appl. Math. 2, 164–168 (1944)

    Article  MathSciNet  Google Scholar 

  9. Marquardt, D. W. An algorithm for least-squares estimation of nonlinear parameters. J. Soc. Ind. Appl. Math. 11, 431–441 (1963)

    Article  MathSciNet  Google Scholar 

  10. Nicola, G., Liu, T. & Gilson, M. K. Public domain databases for medicinal chemistry. J. Med. Chem. 55, 6987–7002 (2012)

    Article  CAS  Google Scholar 

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Correspondence to Tero Aittokallio.

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Mpindi, J., Yadav, B., Östling, P. et al. Consistency in drug response profiling. Nature 540, E5–E6 (2016). https://doi.org/10.1038/nature20171

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