Author(s): Wang L, Sun Y, Jiang M, Zheng X
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Abstract Our method concentrates on and constructs the distinguished single gene network. An integrated method was proposed based on linear programming and a decomposition procedure with integrated analysis of the significant function cluster using Kappa statistics and fuzzy heuristic clustering. We tested this method to identify ATF2 regulatory network module using data of 45 samples from the same GEO dataset. The results demonstrate the effectiveness of such integrated way in terms of developing novel prognostic markers and therapeutic targets.
This article was published in J Biomed Biotechnol
and referenced in Journal of Genetic Syndromes & Gene Therapy