There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Zhibin Pu |
| Institution: | Shanghaitech University |
| Department: | Institution of Mathematical Sciences |
| Country: | |
| Proposed Analysis: | While chances to discover how genetic variations impact brain structures and brain-related diseases are thus created, methods for analysis of high-dimensional imaging and genetic data are still suffering computational challenges. Traditional multivariate regression approaches are approximation-based to replace the complex coefficient matrix with a low rank matrix, which ignores the potential efficiency gains from structures of single nucleotide polymorphisms (SNPs). My group is trying to present a new group sparse regression to make up for the drawbacks. |
| Additional Investigators |
