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Figure 2 | BMC Bioinformatics

Figure 2

From: Semi-supervised gene shaving method for predicting low variation biological pathways from genome-wide data

Figure 2

Demonstration of the claimed advantages of our algorithm using the "ground truth" reported in [17]. (a) Plots of expression profiles of high-amplitude and low-amplitude gene sets. (b) Evaluating the capability of our algorithm to recover a complete low-amplitude gene set. The gene shaving shaving algorithm [4] fails in this case because it exclusively works with the leading PC. X-axis represents the increasing sizes of the subsets, and Y-axis represents the -log2P of the enrichment, indicating increased capacity of recovering a complete gene set. (c) Evaluating the capability of gene shaving algorithm [4] to recover a complete high-amplitude gene set.

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