Identifying Alzheimer's disease-related miRNA Based on semi-Clustering.

Identifying Alzheimer's disease-related miRNA Based on semi-Clustering. Curr Gene Ther. 2019 Sep 24;: Authors: Zhao T, Wang D, Hu Y, Zhang N, Zang T, Wang Y Abstract miRNA is not only found in brain tissue, but also ins cerebrospinal fluid as well as in plasma and serum. More and more scholars are trying to use it as a specific biomarker for Alzheimer's Disease (AD). Multiple studies have indicated that miRNAs are associated with poor axonal growth and loss of synaptic structures, both of which are early events in AD. The overall loss of miRNA may be associated with aging, increasing the incidence of AD, and may also be involved in the disease through some specific molecular mechanisms. We used genes as a bridge to connect AD and miRNAs. Firstly, protein-protein interaction network is used to find more AD-related genes by known AD-related genes. Then, each miRNA's correlation with these genes is obtained by miRNA-gene interaction. Finally, each miRNA could get a feature vector representing its correlation with AD. Unlike other studies, we don't generate negative samples randomly with using classification method to identify AD-related miRNAs. Here we use a semi-clustering method 'one-class SVM'. AD-related miRNAs are considered as outliers and our aim is to identify the miRNAs that are similar to known AD-related miRNAs (outliers). We identified 257 novel AD-related miRNAs and compare our method with SVM which is applied by generating...
Source: Current Gene Therapy - Category: Genetics & Stem Cells Authors: Tags: Curr Gene Ther Source Type: research