Federica Baccini (University of Pisa)
Dec 11, 2019 – 11:00 AM
DIISM, Artificial Intelligence laboratory (room 201), Siena SI
In this seminar a model that combines different techniques of network analysis is presented, together with its application to epigenetic data, in order to study haematopoiesis, i.e. the process of differentiation of blood cells.
Currently, there is not certainty about the phases of this hierarchical cell differentiation process, and existing hypotheses on its regulation in normal cells mostly rely on immunohistochemical studies. Until now, most of the epigenetic studies on haematopoiesis tend to concentrate on the individuation of differences in the regulation of gene expression between normal and diseased cells, rather than on the influence of epigenetic modifications on the normal process.
In this talk, the role of Epigenetics in the normal process of haematopoiesis will be explored by using similarity network fusion. Then, the classical hypothesis on the first hierarchical subdivision of haematopoiesis is tested by applying a greedy cut algorithm to networks of cellular types.