Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics data.

ABSTRACT: Alzheimer's disease (AD) is the most uncertain form of Dementia in terms of finding out the mechanism. AD does not have a vital genetic factor to relate to. There were no reliable techniques and methods to identify the genetic risk factors associated with AD in the past. Most of the data available were from the brain images. However, recently, there have been drastic advancements in the high-throughput techniques in bioinformatics. It has led to focused researches in discovering the AD causing genetic risk factors. Recent analysis has resulted in considerable prefrontal cortex data with which classification and prediction models can be developed for AD. We have developed a Deep Belief Network-based prediction model using the DNA Methylation and Gene Expression Microarray Data, with High Di

SUBMITTER: Mahendran N 

PROVIDER: S-EPMC9978469 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature