Research
Interests
Dr. Califano's lab at Columbia University is interested in a variety of themes at the interface of computational and experimental biological sciences.
These include:
1. The exploration and the application of pattern and association discovery algorithms in the context of sequence, structure, and microarray data.
2. The reverse engineering of metabolic and gene regulatory networks using dynamical and statistical predictive models that can be validated in an experimental setting.
3. The dissection of complex genetic traits in a whole genome context, using association discovery techniques and their related statistical models.
What is it?
A scale-free network is a specific kind of complex network that has attracted attention since many real-world networks fall into this category. In scale-free networks, some nodes act as "highly connected hubs" (high degree), although most nodes are of low degree.
How is it used?
Scale free networks have been used to explain behaviors as diverse as those of power grids, the stock market and cancerous cells, as well as the dispersal of communicable diseases.