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 …
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
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 …
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
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 …
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 …
due to the increasing advantages of multi-factory manufacture. This paper investigates the …
Rationalized fruit fly optimization with sine cosine algorithm: a comprehensive analysis
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 …
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) …
As one of the latest swarm intelligence-based methods, fruit fly optimization algorithm (FOA) …
Protein secondary structure prediction by using deep learning method
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 …
challenges in computational biology. It can be divided into several independent sub …
A bioinformatic variant fruit fly optimizer for tackling optimization problems
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 …
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
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 …
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 …
biomedicine. Whereas high-throughput omics approaches are available, it is evident that …