Research Article
ATAXIC: An Algorithm to Quantify Transcriptomic Perturbation Heterogeneity in Single Cancer Cells
Figure 2
Correlations of ATAXIC scores with the proliferation and differentiation signatures in cancer. Spearman correlations between ATAXIC scores and the enrichment scores of the proliferation signature (a), the cell cycle pathway (b), and the differentiation signature (c) in single cells from individual patients of eight cancer types. BC: breast cancer; GBM: gliomas; PC: prostate cancer; RCC: renal cell carcinoma; SyS12 (pt): SyS12 post treatment. The Spearman correlation coefficients (p) and adjusted P values (FDR) are shown. ∗ FDR < 0.05, ∗∗ FDR < 0.01, ∗∗∗ FDR < 0.001, ns: not significant (this also applies to the following figures).
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