Keywords: analytical pipelines,  experimental design, data quality control, data integration


  • Experiment design:
    • Avoidance of batch effects,
    • Balancing budget and minimal statistical requirements.
  • Development of tailored methods:
    • Getting novel information from existing data;
    • Extraction of information from hard, noisy datasets.
  • Downstream analysis and interpretation:
    • Molecular networks;
    • Survival analysis;
    • Integration of heterogeneous data.


    programming languages:

    R, Python

    Points of contact:

    • Dr Santosh Atanur, Dr Zhangyi He
    • Previous members: Dr Paul Blakeley