Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9979| Title: | Meta-Analysis of Gene Expression Data for Alzheimer’s Disease |
| Authors: | Shukla, Arthza Kaushal, Arin Singh, Tiratha Raj [Guided by] |
| Keywords: | Gene expression Alzheimer’s disease |
| Issue Date: | 2023 |
| Publisher: | Jaypee University of Information Technology, Solan, H.P. |
| Abstract: | Background: Around 47 million individuals worldwide suffer from dementia, which is a serious public health issue. A more severe kind of dementia that usually affects elderly people is Alzheimer's disease dementia (ADD). As the world population ages, dementia will become more common. The pathophysiology of Alzheimer's disease is still largely unclear. Therefore, we sought to glean new information from existing data. |
| Description: | Enrollment No. 191906, 191905 |
| URI: | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9979 |
| Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Meta-Analysis of Gene Expression Data for Alzheimer’s Disease.pdf | 2.64 MB | Adobe PDF | View/Open |
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