Now showing items 1-7 of 7

    • BTR: training asynchronous Boolean models using single-cell expression data 

      Lim, Chee Y; Wang, Huange; Woodhouse, Steven; Piterman, Nir; Wernisch, Lorenz; Fisher, Jasmin; Göttgens, Berthold (2016-09-06)
      Abstract Background Rapid technological innovation for the generation of single-cell genomics data presents new challenges and opportunities for bioinformatics analysis. One ...
    • Computational modeling of the EGFR network elucidates control mechanisms regulating signal dynamics 

      Wang, Dennis Y. Q.; Cardelli, Luca; Phillips, Andrew; Piterman, Nir; Fisher, Jasmin (2009-12-22)
      Abstract Background The epidermal growth factor receptor (EGFR) signaling pathway plays a key role in regulation of cellular growth and development. While highly studied, it is still not fully understood how the signal is ...
    • Decoding the Regulatory Network for Blood Development from Single-Cell Gene Expression Measurements 

      Moignard, Victoria; Woodhouse, Steven; Haghverdi, Laleh; Lilly, Andrew J.; Tanaka, Yosuke; Wilkinson, Adam C.; Buettner, Florian et al. (Nature Publishing Group, 2015-02-09)
      Reconstruction of the molecular pathways controlling organ development has been hampered by a lack of methods to resolve embryonic progenitor cells. Here we describe a strategy to address this problem that combines gene ...
    • Drug Target Optimization in Chronic Myeloid Leukemia Using Innovative Computational Platform 

      Chuang, Ryan; Hall, Benjamin A.; Benque, David; Cook, Byron; Ishtiaq, Samin; Piterman, Nir; Taylor, Alex et al. (NPG, 2015-02-03)
      Chronic Myeloid Leukemia (CML) represents a paradigm for the wider cancer field. Despite the fact that tyrosine kinase inhibitors have established targeted molecular therapy in CML, patients often face the risk of developing ...
    • Linear Temporal Logic for Biologists in BMA 

      Hall, Benjamin A.; Piterman, Nir; Fisher, Jasmin (Springer, 2016-09)
    • Processing, visualising and reconstructing network models from single cell data 

      Woodhouse, Steven; Moignard, Victoria; Göttgens, Berthold; Fisher, Jasmin (Nature Publishing Group, 2015-11-18)
      New single-cell technologies readily permit gene expression profiling of thousands of cells at single-cell resolution. In this review we will discuss methods for visualisation and interpretation of single-cell gene expression ...
    • Single cell analyses of regulatory network perturbations using enhancer targeting TAL Effectors suggest novel roles for PU.1 during haematopoietic specification 

      Wilkinson, Adam C.; Kawata, Viviane K. S.; Schütte, Judith; Gao, Xuefei; Antoniou, Stella; Baumann, Claudia; Woodhouse, Steven et al. (The Company of Biologists, 2014-09-24)
      Transcription factors (TFs) act within wider regulatory networks to control cell identity and fate. Numerous TFs including Scl/Tal1 and PU.1 are known regulators of developmental and adult haematopoiesis, but how they ...