COCA (coordinative component analysis) explicitly captures those genes within a specific biological context that are likely to be expressed in a coordinative manner. Formulated as an optimization problem to maximize the coordinative effort, COCA is designed to first extract the coordinative components based on a partial guidance from knowledge genes and then rank the genes according to their participation strengths. An embedded bootstrapping procedure is implemented to improve statistical robustness of the solutions.
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BMC Bioinformatics. 2010 Mar 30;11:162.
Knowledge-guided gene ranking by coordinative component analysis.
Wang C, Xuan J, Li H, Wang Y, Zhan M, Hoffman EP, Clarke R.