A biological sub-sequences detection using integrated BA-PSO based on infection propagation mechanism: Case study COVID-19
作者：
Highlights：
• FLAT algorithm was improved based on an enhanced version of BAT algorithm.
• Proposed model integrates BAT with PSO using a novel infection propagation mechanism.
• Performance of developed model was evaluated on a huge lengths protein sequence.
• FLAT based on BPINF was used to detect longest consecutive subsequences of COVID19.
• Performance of FLAT was evaluated using real dataset and compared with other methods.
摘要
•FLAT algorithm was improved based on an enhanced version of BAT algorithm.•Proposed model integrates BAT with PSO using a novel infection propagation mechanism.•Performance of developed model was evaluated on a huge lengths protein sequence.•FLAT based on BPINF was used to detect longest consecutive subsequences of COVID19.•Performance of FLAT was evaluated using real dataset and compared with other methods.
论文关键词：Longest common consecutive subsequence (LCCS),COVID-19,Computaional Biology,Meta-heuristics,BA algorithm
论文评审过程：Received 29 April 2021, Revised 9 October 2021, Accepted 9 October 2021, Available online 20 October 2021, Version of Record 27 October 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116063
