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  • 19 July 2017

    The link to the Reply (nature20581) was corrected.


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

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Author information


  1. Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.

    • Mehdi Bouhaddou
    • , Matthew S. DiStefano
    • , Eric A. Riesel
    • , Emilce Carrasco
    • , Hadassa Y. Holzapfel
    • , DeAnalisa C. Jones
    • , Gregory R. Smith
    • , Alan D. Stern
    • , Sulaiman S. Somani
    • , T. Victoria Thompson
    •  & Marc R. Birtwistle
  2. DToXS LINCS Center, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA

    • Marc R. Birtwistle
  3. Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA

    • Marc R. Birtwistle


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Corresponding author

Correspondence to Marc R. Birtwistle.

Extended data

Supplementary information

PDF files

  1. 1.

    Supplementary Information

    This file contains Supplementary Methods and Supplementary Data. Each data page depicts a different cancer cell line, the name of which is given at the top of each page. On each page, all of the drugs that were tested by both CCLE and CGP are displayed. Drug dose is on the x-axis and percent cell viability is on the y-axis. Blue corresponds to CCLE and red to CGP. Stars indicate the shared dose range between the two studies. The red and blue numbers in the bottom left corner of each subplot are the means across all manual curator ratings for CGP and CCLE, respectively. 1= unanimous sensitivity; 2=unanimous insensitivity.

  2. 2.

    Supplementary Data 1

    Discrepantly classified dose response curves. Dose response curves from drug/ cell line pairs that were discrepant in terms of sensitivity classification. Only data in shared dose range is shown. Red dots are CGP, blue are CCLE.

Zip files

  1. 1.

    Supplementary Data 2

    This zipped file contains Supplementary Data - see ‘read me’ file for details.

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