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. Author manuscript; available in PMC: 2016 Jan 1.
Published in final edited form as: Pac Symp Biocomput. 2015;20:32–43.

Table 2.

For the SGSR model, the top 7 predictive features are displayed for AZD6244 (AZD) and PD0325901(PD). Cells higlighted in orange correspond to features with evidence of being functionally related to MEK inhibitor compounds, as described in the text. For comparison, the ranks of corresponding predictive features inferred by bootstrapped Elastic Net are displayed (18,897 and 12,024 features are considered in model building with CCLE and Sanger, respectively).

Biomarker SGSR Bootstrapped Elastic Net regression
CCLE Sanger CCLE Sanger
AZD PD AZD PD AZD PD AZD PD
EDIL3 Y Y Y Y 7260 11170 5109 4361
RHOA Y Y Y Y 16833 18775 1335 5022
FYN NA NA Y Y 11962 9574 7932 10345
MAPK1 Y Y NA Y 618 815 8914 10352
MAP2K1 Y Y NA Y 10133 11896 11924 8338
AURKB Y Y Y Y 12979 16464 6772 8464
SRC NA NA Y Y 10820 16675 6501 8516