earticle

영어

The goal of the Gene Ontology is to provide a controlled vocabulary that can be applied to all organisms, even as knowledge of gene and protein roles in cells is accumulating and changing. Further, in the process of co-evolution, conflicts are unavoidable among ontology changing sequences. We use the N ⨉ M matrix to model the changing sequences in Gene ontology evolution which lead to a result ontology. According the users’ estimate of the changing sequences, we propose the updating algorithm to update the matrix as mentioned earlier. The new matrix is as the input of the MUOUE((A,R) algorithm to calculate the minimal hitting sequence set of high-potential candidates that were subject to a subsequent Bayesian reasoning approach to rank them. The instances show that our approach can be used to diagnosis the conflicts, especially under the opening environment. The diagnosis approach we proposed in this paper can provide support for the co-evolution of Gene Ontology.