Instructors: Carlos D. Bustamante, Trevor Hastie, Richard Olshen, Manuel Rivas, Chiara Sabatti, Rob Tibshirani, James Zou
Credits: 1-18 units
For students wishing to receive credit for directed reading or research time. Prerequisite: consent of instructor.
Instructors: Manuel Rivas, Julia Salzman, James Zou
Credit: 2-3 units
Tue, Thu 3:00 PM - 4:20 PM
The recent explosion of data generated in the fields of biology and medicine has led to many analytical challenges and opportunities for understanding human health. This graduate-level course focuses on methodology for large-scale inference from biomedical data. Topics include one-dimensional and multidimensional probability distributions; hypothesis testing and model comparison; statistical modeling; and prediction. This course will place a special emphasis on applications of these approaches to i) human genetic data; ii) hospital in-patient and health questionnaire data, which is increasingly available with the emergence of large precision initiatives like the UK Biobank and Precision Medicine Initiative; and iii) wearable and social network data.