Rapid technological innovation for the generation of single-cell genomics data presents new challenges and opportunities for bioinformatics analysis. One such area lies in the development of new ways… (More)
Nowadays dynamic Bayesian network (DBN) has been well known for its marvelous capabilities in modeling and analyzing a wide range of sequential systems. The notable advantage of DBN lies in it… (More)
2010 Second International Conference on Computer…
2010
Learning dynamic Bayesian networks (DBNs) is one of the current research focuses. In this article a GA-based approach is proposed for DBNs parameters learning from fully and partially observed data.… (More)