Disease diagnosis and prediction methods in biotechnology and medicine have significantly
advanced over time. Consequently, analyzing raw gene expression is crucial for identifying …

This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …

Feature selection (FS) represents an optimization problem that aims to simplify and improve
the quality of highly dimensional datasets through selecting prominent features and …

Colon cancer is a significant global health problem, and early detection is critical for
improving survival rates. Traditional detection methods, such as colonoscopies, can be …

Cancer is a deadly disease that occurs due to rapid and uncontrolled cell growth. In this
article, a machine learning (ML) algorithm is proposed to diagnose different cancer diseases …

Microarray gene expression data are useful for identifying gene expression patterns
associated with cancer outcomes; however, their high dimensionality make it difficult to …

Deep learning (DL) approaches have been highly interesting in segmentation and
classification in recent years. During breast cancer detection, a convolutional neural network …

Detecting tumors using gene analysis in microarray data is a critical area of research in
artificial intelligence and bioinformatics. However, due to the large number of genes …

Sepsis is a potentially life-threatening medical condition that increases mortality in pediatric
populations admitted in the intensive care unit (ICU). Due to the unpredictable nature of the …

This paper considers the use of machine learning for diagnosis of diseases that is based on
the analysis of a complete gene expression profile. This distinguishes our study from other …