| Title: | Robust predictive modelling integrating omics genome and clinical data with application to neurodegenerative disorders |
| Lead Institution: | Chinese University of Hong Kong |
| Principal investigator: | Dr Maggie Wang |
Application 57883
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About
This project aims to develop statistical methods and algorithms to perform disease outcome prediction. The Alzheimer's disease have strong genetic component. Clinical variables are also useful predictors for the disease outcome. How to perform prediction based on these risk factors reliably and consistently would be one of the central issue in the prediction algorithm. The project duration is three years for data treatment, statistical methods development, data analysis and validation. The project may be lead to methods for early screening of AD and other neuro-degenerative disorders, and enable the early intervention of high risk subjects long before the disease onset.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 8105 | A Prism Vote method for individualized risk prediction of traits in genotype data of Multi-population | Xiaoxuan Xia (+9) | 2022 | PLOS Genetics |
Enabling scientific discoveries that improve human health