Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
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.
How to cite this article:
Mohammad-Ashraf Ottom, Khalid M.O. Nahar and Izzat Alsmadi. Extraction of Essential Genes Based on Network Attributes.
DOI: https://doi.org/10.36478/jeasci.2019.5183.5189
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.5183.5189