Prof. Anastassiou's Group Develops a Best-Performing Algorithm

Prof. Anastassiou's research group develops best-performing gene regulatory reverse engineering algorithm. The technique, based on the information theoretic concept of synergy, exhibited the best performance amongst competing algorithms in a "challenge" for identifying gene interactions from blinded gene expression data.

For more information, see www.nyas.org/ebriefreps/main.asp?intSubSectionID=5913 The challenge submissions were part of the DREAM2 conference (Dialogue on Reverse Engineering Assessment and Methods.

A related paper co-authored by EE Ph.D. students John Watkinson and Kuo-ching Liang and Professors Xiaodong Wang of EE and Tian Zheng of Statistics is available at www.nyas.org/ebriefreps/ebrief/000705/presentations/anastassiou1/player.html


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