Using the Network Zoo Tools to Explore Biological Complexity and Its Consequences
To Know
About this Class
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Dr. John Quackenbush, a Harvard professor and NCI grantee, will describe the conceptual framework for these network tools, demonstrate some practical applications, and explain how they can help you tackle complex biological questions about gene regulation and network inference in your research. |
Some of these tools include:
• PANDA (Passing Attributes between Networks for Data Assimilation): Estimate bipartite gene regulatory networks by combining multiple data sources.
• LIONESS (Linear Interpolation to Obtain Network Estimates for Single Samples): Decompose population-level network models into a collection of individual-specific networks.
• MONSTER (MOdeling Network State Transitions from Expression and Regulatory data): Identify key regulatory drivers that control transitions between biological states--such as health and disease.
These, and nearly 20 other tools, are maintained in a cohesive repository, The Network Zoo, with implementations in both R and Python, and NetBooks, online Jupyter Notebook tutorials.