Identification of gene interactions associated with disease from gene expression data using synergy networks-0

<p><b>Copyright information:</b></p><p>Taken from "Identification of gene interactions associated with disease from gene expression data using synergy networks"</p><p>http://www.biomedcentral.com/1752-0509/2/10</p><p>BMC Systems Biology 2008;2():10-10.</p><p>Published online 30 Jan 2008</p><p>PMCID:PMC2258206.</p><p></p>efore () = 1 and the synergy is bounded by -1 and +1, where is the symbol for the presence of cancer (see Methods). Also shown are the projections of the scatter plots to each of the two axes, thus allowing visualization of the relationship of each gene to cancer. Panels d, e, f show scatter plots of binarized expression levels corresponding to panels a, b, c, respectively, depicting circles for the multiple point at the vertices. (A) Each of the two genes ("oncogenes" in this case) is by itself sufficient to determine the presence or absence of cancer and there is negative synergy (redundancy). (B) In combination, the two genes are sufficient to determine the presence or absence of cancer, but each of them individually is uncorrelated with cancer and the synergy is positive. (C) Both genes, including their combination, are uncorrelated with cancer, and the synergy is approximately zero. (D) Illustration for the scatter plot from the binarized expression levels in panel a. The synergy is equal to -1. (E) Illustration for the scatter plot from the binarized expression levels of panel b. The synergy is equal to +1. (f) Illustration for the scatter plot from the binarized expression levels of panel c. Split bi-colored circles indicate the simultaneous presence of an equal number of healthy and cancerous samples. The synergy is equal to 0