Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9979
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dc.contributor.authorShukla, Arthza-
dc.contributor.authorKaushal, Arin-
dc.contributor.authorSingh, Tiratha Raj [Guided by]-
dc.date.accessioned2023-09-13T09:08:56Z-
dc.date.available2023-09-13T09:08:56Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9979-
dc.descriptionEnrollment No. 191906, 191905en_US
dc.description.abstractBackground: 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.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectGene expressionen_US
dc.subjectAlzheimer’s diseaseen_US
dc.titleMeta-Analysis of Gene Expression Data for Alzheimer’s Diseaseen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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