Abstract Analysis of gene expression data is crucial for disease prognosis and diagnosis.
Gene expression data has high redundancy and noise that brings challenges in extracting …

This paper introduces a new metaphor-free metaheuristic called attack-leave optimizer
(ALO). As the name suggests, ALO deploys two strategies to find the optimal solution. The …

Cancer is a deadly disease that affects the lives of people all over the world. Finding a few
genes relevant to a single cancer disease can lead to effective treatments. The difficulty with …

The identification of relevant biomarkers from high-dimensional cancer data remains a
significant challenge due to the complexity and heterogeneity inherent in various cancer …

Purpose Microarray information is crucial for the identification and categorisation of
malignant tissues. The very limited sample size in the microarray has always been a …

Tumors have drawn increasing attention recently because of their heterogeneous interior
structures. Particularly, single-cell RNA (scRNA) mechanics have made important …

Social media platforms are seeing an increase in the issue of cyberbullying, which has both
immediate and long-term impacts on its victims. The development of automated systems that …

Weeds need to be removed from the immediate areas surrounding crops as they compete
for soil nutrients. Farmers currently clear weeds manually, which is both tiring and imprecise …

Identification and prediction of Colon cancer have always been difficult and essential tasks
for medical professionals. Hospitals are providing costly therapies and operations to treat …