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Fig. 2 | Genome Biology

Fig. 2

From: Exploiting single-cell expression to characterize co-expression replicability

Fig. 2

scRNA-seq networks have lower functional connectivity than bulk RNA-seq networks and state-driven performance is highly correlated with compositional performance. a Individual bulk and scRNA-seq networks were aggregated ten times in random order by averaging rank co-expression values, then re-ranking the resulting network. Receiver operating characteristic (ROC) scores for GO slim categories were calculated as each additional network was added. Individual runs are shown in gray (bulk) and pink (sc), and means are shown in black and red. Performance rises with aggregation for both bulk and sc networks, but sc networks have much lower baseline functional connectivity. Inset: Aggregate single-cell network (163 cell types) GO slim AUROCs are plotted against those of the aggregate bulk network (163 experiments). Performance is strongly correlated (r = 0.89) but is consistently lower in the single-cell aggregate. b Aggregate cell-type network GO slim AUROCs are plotted against those of the pseudo-compositional aggregate network. Performance is strongly correlated

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