雅卡索引
计算机科学
二进制数
理想(伦理)
领域(数学)
期限(时间)
功能(生物学)
人工智能
过程(计算)
算法
模式识别(心理学)
数学
生物
算术
认识论
操作系统
物理
哲学
进化生物学
纯数学
量子力学
作者
Mouna Chellal,Ilyas Benmessahel
出处
期刊:Journal of physics
[IOP Publishing]
日期:2020-09-01
卷期号:1642 (1): 012019-012019
标识
DOI:10.1088/1742-6596/1642/1/012019
摘要
Abstract Identifying protein complexes brings new insights in the field of understanding of cellular life and the mechanisms underlying complex diseases. In order to solve the challenge of protein complex prediction, a large number of tools have been developed to create an efficient approach. Most existing methods do not take changing protein-protein interactions with time into consideration. To address these challenges, we propose a new binary technique of Harris Hawks Optimizer (BHHO) to improve the accuracy of protein complex detection. According to the core-attachment structure, BHHO is used to discover the potential cores of protein complexes by simulating the process of cooperative behavior in chasing by Harris’ hawks in nature. We design a new fitness function to detect protein complexes with various densities and modularities. The experimental results show that BHHO achieves an ideal performance PIN in term of the F1 and outperforms of the classical algorithms in yeast in term Jaccard measure.
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