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

Nature-inspired computing (NIC) computer optimization algorithms are an emerging
approach that relies on the principles and inspiration of the biological development of nature …

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 …

Multi-variable time series forecasting is one of several applications of machine learning.
Creating an artificial environment capable of replicating real-world behavior is useful for …

Cuckoo Search (CS), a population based meta-heuristic technique is motivated by the
breeding characteristics of cuckoos. The main disadvantage of CS is its local stagnation due …

Biological systems are inherently noisy so that two genetically identical cells in the exact
same environment will sometimes behave in dramatically different ways. This imposes a big …

Abstract Gene Regulatory Networks (GRNs) are the pioneering methodology for finding new
gene interactions getting insights of the biological processes using time series gene …

Background The temporal progression of many fundamental processes in cells and
organisms, including homeostasis, differentiation and development, are governed by gene …

Digitization practices all over the world have driven businesses to build, own, and maintain
user-friendly websites. All Fortune 500 firms operate websites for either transacting business …

Consumer analytics is a vital part of the operation and marketing strategies of any business
today. We can gain an understanding of customer behaviour, customer demand, and very …