Since 2008 I am interested in the network analysis, and its application in genome biology.

In the summer 2010 I attended the Network Analysis Course given by Dr. Nina Zweig of IWR Uni Heidelberg, which was very inspiring and I would definitely recommend.

Interesting topics to me include:

• Data Mining approaches to integrate and map biological network data
• Integrate: Software interfaces (e.g. KEGGgraph) and database models
• Map: Integrate advantages of Cytoscape (or Web), yEd and Graphviz to interactively visualize quantitative data in composite networks
• Build correlation graphs (networks) from expression and mutation
• Understand mutant's impact in networks
• Qualitative analysis of networks
• Centrality and its robustness against missing data,
• clustering of directional and weighted network,
• clustering of bipartite graph, and
• network motifs and its functionality in biological networks
• Quantitative modeling of networks
• General Bayesian network
• Boolean network modeling of signaling pathways
• Fuzzy logic network
• Petri network for metabolism networks

Some of my current work is based on the collaboration with Dr. Nina Zweig and Emoke-Agnes Horvath. In addition I am collaborating with Dr. Dennis Thieffry in Paris. The aim is to translate knowledge from network analysis into  drug targeting and clinical practices.