Identification of Potential Biomarker Using Combined Analysis of Differentially Expressed Genes and miRNAs for Alzheimer’s Disease

Abstract

Alzheimer’s disease has remained a great concern for recent years. There is no exact cure for Alzheimer’s disease (AD). For the proper understanding of the cause of AD and the treatment of AD, we need biomarker. To identify the biomarkers for Alzheimer’s disease, we need a proper study of the differentially expressed miRNAs (DEMs) and differentially expressed genes (DEGs) for AD. To identify the DEGs and DEMs, feature selection techniques can be used. Previously, some statistics based feature selection techniques have been used to identify the DEGs and DEMs. It is not up to the mark. More research work and investigation are required in this area. In this paper, we have used Student’s T-test with Hochberg P adjustment to identify the DEGs and DEMs. We have also distinguished the down-regulated and up-regulated genes using the logarithm of the fold change value and Heatmap plot. Then the target genes of DEMs have been listed. Using these target genes and DEGs, biomarkers have been identified. From the results of Student’s T-test, 4 potential biomarkers have been identified. All the files and programs are accessible at https://github.com/UtshaDas/PotentialBiomarkerforAD.