Fig. 2: Heterogeneous high-grade serous ovarian tumoroids with different cell compositions have statistically significant differences in drug treatment response. | npj Biomedical Innovations

Fig. 2: Heterogeneous high-grade serous ovarian tumoroids with different cell compositions have statistically significant differences in drug treatment response.

From: Cracking the code: predicting tumor microenvironment enabled chemoresistance with machine learning in the human tumoroid models

Fig. 2

A Box and whisker plot of averaged normalized viability for each tumoroid cell composition across all treatment conditions, showing overall resistance to treatment. Box and whisker plots showing resistance of each tumoroid composition to B carboplatin, (C) paclitaxel, (D) PACMA31, (E) N773, and F SC144. G Heatmap of adjusted p values for comparisons between all conditions determined via one-way ANOVA and Tukey’s post hoc analysis. Red indicates most significant (p < 0.05), gray indicates borderline significance (p = 0.05), and blue and white indicate not significant (p > 0.05).

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