A Deep Learning Model for Prediction Alzheimer's disease Based on Microarray Gene Expression Data

Alzheimer's disease (AD) is a major productive neurological illness with complicated genetic architecture. One of the main aims biomedical research to identify risk genes and then explain how these contribute development. As result, it required increase list linked disease. Genes play crucial role in every biological activity. Microarray technology has given access large number genes, allowing them evaluate several levels expression at same time. datasets are categorized by huge small sample sizes. This reality referred as multidimensional curse difficult task. A promising known gene selection addressing this issue potential revolutionize diagnosis. In work, approaches such Singular Value Decomposition (SVD)