This course examines the computational representation and analysis of biological phenomena through the structure and dynamics of networks, from molecules to species. Attention focuses on algorithms for clustering network structures, predicting missing information, modeling flows, regulation, and spreading-process dynamics, examining the evolution of network structure, and developing intuition for how network structure and dynamics relate to biological phenomena.
instructor(s)
Clauset, Aaron
Primary Instructor
- Fall 2019 / Spring 2020 / Spring 2021 / Spring 2022 / Spring 2023 / Spring 2024
