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Figure 4 | Breast Cancer Research

Figure 4

From: MicroRNA signatures predict oestrogen receptor, progesterone receptor and HER2/neureceptor status in breast cancer

Figure 4

Response curves for miR-342, miR-520g and miR-520d. Response curves for (a) miR-342, (b) miR-520g and (c) miR-520d*. Figures show the intensity of each transcript plotted against the artificial neural network (ANN) prediction with respect to the sample being classified as either (a) oestrogen receptor (ER)-positive or ER-negative, (b) progesterone receptor (PR)-positive or PR-negative and (c) v-erb-b2 erythroblastic leukaemia viral oncogene homolog 2 receptor (HER2/neu)-positive or HER2/neu-negative. Error bars indicate 95% confidence intervals.

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