Recent advancements in experimental high-throughput technologies have expanded the
availability and quantity of molecular data in biology. Given the importance of interactions in …

Omics, such as genomics, transcriptome and proteomics, has been affected by the era of big
data. A huge amount of high dimensional and complex structured data has made it no …

Abstract Particle Swarm Optimization (PSO) is a meta-heuristic approach based on swarm
intelligence, which is inspired by the social behaviour of bird flocking or fish schooling. The …

The ability to simulate gene expression and infer gene regulatory networks has vast
potential applications in various fields, including medicine, agriculture, and environmental …

The rapid advancements in high-throughput techniques have fueled large-scale production
of biological data at very affordable costs. Some of these techniques are microarrays and …

Data generation using high throughput technologies has led to the accumulation of diverse
types of molecular data. These data have different types (discrete, real, string, etc.) and …

Computational biology has changed how healthcare systems and biomedical engineering
work. Nature-inspired intelligent computing (NIIC) approaches in predicting potential …

The study of biological systems at a system level has become a reality due to the increasing
powerful computational approaches able to handle increasingly larger datasets. Uncovering …

The electronic speed governors are widely used in diesel generator sets (DGS). To develop
and debug electronic speed governor, the best option is to build a hardware-in-the-loop …

Inference of gene regulatory networks (GRNs) is one of the major challenges in molecular
biology, understanding of which can reveal the regulatory relationship between transcription …