Notice of RetractionParameter Estimation Method for Periodical Gene Identification

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Periodic biological processes such as cell-cycle division are widely studied at molecular level. Time-course gene expression profiles associated with those periodic biological processes appears periodic. Identifying periodically expressed gene from their time-course expression data could help under stand the molecular mechanism of those biological processes. This paper, a periodical gene expression profile is modeled by a linear combination of trigonometric sine and cosine functions in time plus a Gaussian noise term. A two-step parameter estimation method is employed for estimating parameters in the model. On the other hand, non-periodical gene expression profiles are model by a constant plus a Gaussian noise term. The statistical F testing is used to make a decision if a gene is periodically expressed or not. One synthetic dataset and two biological datasets were employed to evaluate the performance of the proposed method. The results show that the proposed method can effectively identify.