Now showing items 20-25 of 25

    • Reconstructing Evolving Signalling Networks by Hidden Markov Nested Effects Models 

      Wang, Xin; Yuan, Ke; Hellmayr, Christoph; Liu, Wei; Markowetz, Florian (2014-03)

      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 AA; de, Santiago Ines; Campbell, Thomas Maxwell; 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 ...