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. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: Clin Cancer Res. 2018 Jul 23;24(21):5292–5304. doi: 10.1158/1078-0432.CCR-17-3431

Figure 3. Elastic Net analysis using multi-dimensional data.

Figure 3.

(A) Average AUC scores for various individual data type, or combined data type predictors, using test sets through 10 repeated Elastic Net analyses. Each bar shows the average AUC scores with 95% confidence intervals. (B) Frequently selected Elastic Net features coming from a multi-dimensional predictor. Features contributing to at least 6 out of 10 Elastic Net models using gene signatures, CNAs, mutations, and clinical ER/PgR status. GS, gene signature; CN, copy number; Mut, mutation; Gray and black bars indicate predictors which positively (37) and negatively (53) predict pCR; thus gray predictors are high in pCR samples and black predictors are high in non-pCR samples. Yellow arrows indicate CNAs features at Chromosome 6p; Green arrows indicate TP53 mutation status or signatures; Pink arrows indicate HER2-enriched signatures; A gray arrow indicates 21-gene Recurrence Score; Black arrows indicate immune signatures; Blue arrows indicate Clinical ER status, Luminal signatures and PgR gene signature.