Reduction of redundancy in diabetes-related gene categories utilizing conceptual similarity and gene expression information

Insulin resistance or insulin deficiency can cause diabetes, which has a high level of glucose in the blood (American Diabetes Association 2014). It's one most pressing issues modern public health. Around 366 million individuals had diabetes 2011, according to "International Federation" (IDF). This figure is expected rise 552 by end 2030. The average score semantic measure and Pearson correlation were used create similarity index this study. Gene be determined procedure. "One" indicates perfect between two genes, whereas "zero" dissimilarity. Algorithms based on measures identify genes that genetically similar. PERL was write algorithm (Practical Extraction Reporting Language). found gene-to-gene gradually deleted redundant information. An known as "greedy" employed remove all above 0.8 threshold value. experiment using several datasets led final value 0.8.