In this three-year project we aim at creating a bioinformatics framework for temporal knowledge discovery applied to the study of the expression of genes involved in the processes of cell differentiation and development. A distinguishing feature of the framework will be the exploitation of novel algorithms for temporal data mining, temporal logic and temporal knowledge extraction to perform the integration of knowledge coming from different sources. We will concentrate in particular on the automatic extraction of temporal knowledge from the literature and on its exploitation to constrain the proposed temporal data analysis algorithms.
The project proposal was positively evaluated by the reviewers but not funded.
