Fig. 2
From: iSeg: an efficient algorithm for segmentation of genomic and epigenomic data
One of the simulated profiles and its detected segments obtained using iSeg. a The actual data with background noise and predefined segments. The segments with non-zero means are normally distributed with unit variance and means 0.72, 0.83, 0.76, 0.9, 0.7, and 0.6 respectively. The profiles shown here are normalized for an approximate signal to noise ratio of 1.0. The segments detected by iSeg (b) and other existing methods: snapCGH (c), mBPCR (d), cghseg (e), cghFLasso (f), HMMSeg (g), DNAcopy (h) and fastseg (i)