Abstract: Protein and DNA feature’s extraction represents an interesting research subject for a wide range of relevant applications. In this study, we studied different methods of grouping a large number of genes based on relations with other genes. We used different network metrics such as centrality degree and betweenness to find essential genes. We proposed and developed an algorithm to extract the total and weighted strengths in associating gene’s relations with each other. The results showed that such group related metrics can be used to effectively extract knowledge about genes and their associations with other genes as well as with diseases.