附Daniel演讲的abstract: My research focuses on inferring regulatory networks from gene expression data, and applying them to problems in human biology. In this talk I shall explain what a gene network is and how it might be useful, describe some new tools and ideas developed to make better use of gene expression data, and show some of the most exciting results we have found in different types of cells.
In particular, I shall show some examples of using network inference techniques to study transcription factor interactions in endothelial cells, and explain a new hypothesis we have proposed to account for interactions up- and down-stream of particular transcription factors.
Finally, I shall talk about our work on malignant melanoma, and show some results from combining a new gene expression dataset with published clinical data from patient tumours to identify previously unknown master regulators associated with differences in survival of melanoma patients.