On the identification of differentially-active transcription factors from ATAC-seq data
Fig 6
Summary of the benchmark on variants of the top methods.
A. Sensitivity (left and center) and precision (right) of each method across real (left) and semi-simulated datasets (center). The size of the points indicate whether or not the method found the true motif significant (adjusted p-value <= 0.05). For real datasets, the color indicates the rank of the true motif, while for semi-simulated datasets it indicates the perturbation strength at which the true motif was found significant. B. Sensitivity and specificity (considering interactors as positives) of the top methods, aggregating both real and semi-simulated datasets. The methods are coloured by family (sample-wise methods in blue, logFC-based methods in pink).