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

Methods:

• 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