TY  - JOUR
T1  - Extraction of Essential Genes Based on Network Attributes
AU - Ottom, Mohammad-Ashraf AU - M.O. Nahar, Khalid AU - Alsmadi, Izzat 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 15
SP  - 5183
EP  - 5189
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.5183.5189
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.5183.5189
KW  - Genes
KW  -genes groups
KW  -maximum cliques
KW  -genecards
KW  -group centrality metrics
KW  -network metrics
AB  - 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.
ER  -