Ranjani Rani, R (2021) Improved Firefy Optimization for Pairwise Network Alignment with its Biological Signifcance of Predicting GO Functions and KEGG Pathways. Wireless Personal Communications.

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Global pairwise biological network alignment is a pervasive technique in bioinformatics
and computational biology. Even now, the computation of network alignment is a challenging efort for delivering an efcient and statistically signifcant results. Thus, the optimization algorithms have been used to get the precise results of protein network alignment. In
this work, an Improved Firefy Optimization Algorithm method was used to align the biological protein networks in a pairwise technique which resulted in an optimal solution. By
utilizing the fnal outcome of network alignment, the function of proteins in a network and
KEGG pathways was also obtained and found that the aligned proteins have more functions that are common in nature.

Item Type: Article
Uncontrolled Keywords: s Protein network alignment · IFOA method · Synthetic networks · Real-world networks · Symmetric substructure score · Gene-ontology Precision
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 16 Sep 2022 04:33
Last Modified: 16 Sep 2022 04:33
URI: http://ir.psgcas.ac.in/id/eprint/1536

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