Network analyses

Biological systems are constructed as robust networks. Networks at the level of transcriptomes can be determined by analyzing time series, various textures and various conditions or a combination of all effects. For this purpose, the data are analyzed in a separated way, normalized and reckoned up by using correlation- and regression-based methods.



Current research projects


  • Evolutionary analysis of networks of different dicot and monocot plants
  • Ear development of grasses
  • Networks for the control of (C4) photosynthesis
Completed projects


Integrated analysis of monocot C4 leaf development using transcriptomics, metabolomics and physiology

Integrated analysis of dicot C4 leaf development using imaging and transcriptomics

Regression based network analysis of wheat transcriptome data


Additional information

Correlation-based network analysis

WGCNA: an R package for weighted correlation network analysis

RandomForest regression based network analysis

Inferring Regulatory Networks from Expression Data Using Tree-Based Methods