Professor Lei Xie
This course introduces the fundamental algorithms and applications of data mining, computational, and modeling techniques in biology and medicine. The focus will be on capability of formulating biological questions into computational problems, and hand-on skills in making use of software and databases to solve real-world problems. The goal is to provide students a holistic, quantitative, and multi-scale view of biological systems.
List of topics
Fundamental of systems biology
Application of data mining techniques to biology and biochemistry
Prediction, modeling, and simulation of biomolecular interactions
Protein function prediction and annotation
Genomics data analysis
Omics data integration
Biological network reconstruction, modeling, and simulation
Genome-wide association studies
Predictive modeling for precision medicine
No textbook is required. Reading materials will be the latest research papers.
Basic knowledge of Unix OS, statistics, and linear algebra.
Programming skills are desired but not required.
The student must demonstrate working knowledge of foundation and software of computational biology represented by topic of
Students need to complete an independent project targeting a conference or journal publication. The project will at least include the following steps: data preparation for the computational modeling, construction of a predictive model, and the generation of a testable biological hypothesis for further experimental validation.