Fig. 4From: A rank-based marker selection method for high throughput scRNA-seq dataError rate of both the nearest centroids classifier (NCC; (a) and (b)) and the random forests classifier (RFC; (c) and (d)) on the Zeisel data set. Figure (b) (respectively (d)) is a detailed image of the error rate of the different methods using the NCC (respectively RFC) when smaller numbers of markers are selectedBack to article page