Figure 1.

Illustration of the difference between all-vs-all and one-vs-all discriminative subnetworks. Illustration of the difference between all-vs-all and one-vs-all discriminative subnetworks. The aggregate expression profiles of five hypothetical subnetworks are shown. Red and green respectively represent positive and negative expression, with intensity representing magnitude. The subnetworks <a onClick="popup('http://www.biomedcentral.com/1753-6561/6/S7/S1/mathml/M36','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1753-6561/6/S7/S1/mathml/M36">View MathML</a> and <a onClick="popup('http://www.biomedcentral.com/1753-6561/6/S7/S1/mathml/M37','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1753-6561/6/S7/S1/mathml/M37">View MathML</a> are one-vs-all discriminative, respectively indicating classes (CRC stages) A, B, C and D, since the expression profile of each subnetwork in samples that belong to the respective class can discriminate these samples from other classes. On the other hand, <a onClick="popup('http://www.biomedcentral.com/1753-6561/6/S7/S1/mathml/M38','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1753-6561/6/S7/S1/mathml/M38">View MathML</a> is an all-vs-all discriminative subnetwork, since it discriminates all classes from each other.

Erten et al. BMC Proceedings 2012 6(Suppl 7):S1   doi:10.1186/1753-6561-6-S7-S1