A hypothetical example of detecting gene-gene functional relationships by statistics

The all-redundant and structured terms are broken into 'independent' terms in a flat linear collection. Each gene associates with some of the annotation term collection so that a gene-annotation matrix can be built in a binary format, where 1 represents a positive match for the particular gene-term and 0 represents the unknown. Thus, each gene has a unique profile of annotation terms represented by a combination of 1 s and 0 s. For a particular example of genes and , a contingency table was constructed for statistics calculation. The higher score (0.66) indicates that genes and are in considerable agreement, more so than by random chance. By flipping the table 90 degrees, the score of term-term can be achieved, based on the agreement of common genes (not shown). For more information see Additional data files 11 and 12.<p><b>Copyright information:</b></p><p>Taken from "The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists"</p><p>http://genomebiology.com/2007/8/9/R183</p><p>Genome Biology 2007;8(9):R183-R183.</p><p>Published online 4 Sep 2007</p><p>PMCID:PMC2375021.</p><p>