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: | han lu |
| Institution: | Shenzhen University |
| Department: | communication engineering |
| Country: | |
| Proposed Analysis: | Our research covers identification of key genes for Alzheimer’s disease (AD) via analysis of genome-wide expression profiling in the brain and prediction of the disease. Microarray-based gene expression data of subjects with and without Alzheimer’s disease is needed. We hope that we can collect raw probe-level data (CEL files) that focused on gene expression profiling in the brain of a cohort of healthy subjects and a cohort of AD subjects. (above 100 subjects respectively) Information on covariates, including age, gender, PMI, and batch effect was required for this study. And then we will conduct quality control and make pre-processing of the raw data. The gene expression value for each probe will be calculated using a standard linear mixed-effects model. In the combined analysis, disease, age, and PMI are used as fixed effects, whereas gender and batch effect are used as random effects. The identified genes will be utilized to predict the disease using machine learning approach: support vector machine. Neuroimage of AD subjects and healthy subjects are required to contribute to the study if possible. |
| Additional Investigators |
