Fig. 4
From: LightCpG: a multi-view CpG sites detection on single-cell whole genome sequence data
The flow chart of GOSS and EFB. (1) GOSS was used to reduce the number of samples. First, we sorted all data samples according to the gradient values. Then, the top a% samples were extracted and b% of the remaining samples were randomly selected. (2) EFB was used to reduce the number of features. First, we bundle multiple sparse features into one set and then combined a set into one feature with the help pf a histogram