Computational methods for identifying the critical nodes in biological networks

X Liu, Z Hong, J Liu, Y Lin… - Briefings in …, 2020 - academic.oup.com
A biological network is complex. A group of critical nodes determines the quality and state of
such a network. Increasing studies have shown that diseases and biological networks are …

Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique

X Wang, B Yu, A Ma, C Chen, B Liu, Q Ma - Bioinformatics, 2019 - academic.oup.com
Motivation The prediction of protein–protein interaction (PPI) sites is a key to mutation
design, catalytic reaction and the reconstruction of PPI networks. It is a challenging task …

Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism

H Abderazek, AR Yildiz, S Mirjalili - Knowledge-Based Systems, 2020 - Elsevier
This study presents the application of seven recent meta-heuristic optimization algorithms to
automate design of disk cam mechanism with translating roller follower regarding four …

Hybrid enhanced discrete fruit fly optimization algorithm for scheduling blocking flow-shop in distributed environment

Z Shao, D Pi, W Shao - Expert Systems with Applications, 2020 - Elsevier
Scheduling in distributed production environments is becoming widespread in recent years
due to the increasing advantages of multi-factory manufacture. This paper investigates the …

Rationalized fruit fly optimization with sine cosine algorithm: a comprehensive analysis

Y Fan, P Wang, AA Heidari, M Wang, X Zhao… - Expert Systems with …, 2020 - Elsevier
The fruit fly optimization algorithm (FOA) is a well-regarded algorithm for searching the
global optimal solution by simulating the foraging behavior of fruit flies. However, when …

A new improved fruit fly optimization algorithm IAFOA and its application to solve engineering optimization problems

L Wu, Q Liu, X Tian, J Zhang, W Xiao - Knowledge-Based Systems, 2018 - Elsevier
Nature-inspired algorithms are widely used in mathematical and engineering optimization.
As one of the latest swarm intelligence-based methods, fruit fly optimization algorithm (FOA) …

Protein secondary structure prediction by using deep learning method

Y Wang, H Mao, Z Yi - Knowledge-Based Systems, 2017 - Elsevier
The prediction of protein structures directly from amino acid sequences is one of the biggest
challenges in computational biology. It can be divided into several independent sub …

A bioinformatic variant fruit fly optimizer for tackling optimization problems

Y Fan, P Wang, M Mafarja, M Wang, X Zhao… - Knowledge-Based …, 2021 - Elsevier
The fruit fly optimization algorithm (FOA) is a swarm-based algorithm inspired by fruit flies'
food search behaviors in nature. The conventional FOA is attracting widespread interests …

Predicting essential proteins based on RNA-Seq, subcellular localization and GO annotation datasets

X Lei, J Zhao, H Fujita, A Zhang - Knowledge-Based Systems, 2018 - Elsevier
Essential proteins are indispensable to cellular life. Identification of essential proteins plays
a critical role in the survival and development of life process and understanding the function …

[HTML][HTML] Unveiling network-based functional features through integration of gene expression into protein networks

M Jalili, T Gebhardt, O Wolkenhauer… - … et Biophysica Acta (BBA …, 2018 - Elsevier
Decoding health and disease phenotypes is one of the fundamental objectives in
biomedicine. Whereas high-throughput omics approaches are available, it is evident that …