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Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques

Fig 2

Comprehensive analysis of lung cancer cell lines (A) Box plot depicting the LN IC50 (Z-score) values predicted for all drugs across each lung cancer cell line.

(B) Heatmap showing the predicted LN IC50 (Z-score) for each drug in each lung cancer cell line. (C) Ridge plot displaying the overall distribution of predicted LN IC50 (Z-scores) across the four lung cancer subtypes. (D) Waterfall chart showing the ranking of predictive performance for each drug. The red portion is used to differentiate drugs with high accuracy (ρ>0.7). The bar plot displays the top 10 drugs with highest accuracy. (E) PCA plot showing the clustering result of pathway-level attention weights based on different lung cancer subtypes. (F) PCA plot showing the clustering result of pathway-level attention weights for these lung cancer subtypes based on different drugs.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1012905.g002