scHiCTools: A computational toolbox for analyzing single-cell Hi-C data
Fig 5
Average ACROC measures from InnerProduct without any smoothing, InnerProduct with random walk smoothing, InnerProduct with linear convolution, and InnerProduct with network enhancing.
(a) When the dataset was sparsified with the first sparsification method, ACROC measures from the four approaches decreased when down-sampling rate increased. (b) When the dataset was sparsified with the second sparsification method, ACROC measures from the four approaches decreased when down-sampling rate increased, but at a high dropout rate (0.7), linear convolution’s ACROC remained high, whereas other methods’ ACROC dropped to below 0.9.