Now showing items 10-15 of 15

    • Reconstructing Evolving Signalling Networks by Hidden Markov Nested Effects Models 

      Wang, Xin; Yuan, Ke; Hellmayr, Christoph; Liu, Wei; Markowetz, Florian (Institute of Mathematical Statistics, 2014-03)
      Inferring time-varying networks is important to understand the development and evolution of interactions over time. However, the vast majority of currently used models assume direct measurements of node states, which are ...
    • REFINING CELLULAR PATHWAY MODELS USING AN ENSEMBLE OF HETEROGENEOUS DATA SOURCES 

      Franks, Alexander M.; Markowetz, Florian; Airoldi, Edoardo M. (Institute of Mathematical Statistics, 2016)
      Improving current models and hypothese of cellular pathways is one of the major challenges of systems biology and functional genomics. There is a need for methods to build on established expert knowledge and reconcile it ...
    • Regulators of genetic risk of breast cancer identified by integrative network analysis 

      Castro, Mauro A. A.; de Santiago, Ines; Campbell, Thomas M.; Vaughn, Courtney; Hickey, Theresa E.; Ross, Edith; Tilley, Wayne D. et al. (NPG, 2015-11-30)
      Genetic risk for breast cancer is conferred by a combination of multiple variants of small effect. To better understand how risk loci might combine, we examined whether risk-associated genes share regulatory mechanisms. ...
    • SANTA: quantifying the functional content of molecular networks 

      Cornish, Alex J.; Markowetz, Florian (PLOS, 2014-09-11)
      Linking networks of molecular interactions to cellular functions and phenotypes is a key goal in systems biology. Here, we adapt concepts of spatial statistics to assess the functional content of molecular networks. Based ...
    • Spatial and temporal heterogeneity in high-grade serous ovarian cancer: a phylogenetic reconstruction 

      Schwarz, Roland F.; Ng, Charlotte; Cooke, Susanna L.; Newmann, Scott; Temple, Jillian; Piskorz, Anna; Gale, Davina et al. (PLOS, 2015-02-24)
      Background The major clinical challenge in the treatment of high-grade serous ovarian cancer (HGSOC) is the development of progressive resistance to platinum-based chemotherapy. The objective of this study was to determine ...
    • You are not working for me; I am working with you 

      Markowetz, Florian (PLoS, 2015-09-24)
      Since 2009, I have led a cancer research group at the University of Cambridge; the current group includes ten scientists (five postdocs, five PhD students). In the following, I will share with you some of the lessons I ...