CMSA Interdisciplinary Science Seminar: Some new algorithms in statistical genomics
SEMINARS, CMSA EVENTS
Hui Jiang - University of Michigan
The statistical analysis of genomic data has incubated many innovations for computational method development. This talk will discuss some simple algorithms that may be useful in analyzing such data. Examples include algorithms for efficient resampling-based hypothesis testing, minimizing the sum of truncated convex functions, and fitting equality-constrained lasso problems. These algorithms have the potential to be used in other applications beyond statistical genomics.
For information on how to join, please see: https://cmsa.fas.harvard.edu/seminars-and-colloquium/