The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has
advanced our understanding of the pathogenesis of disease and provided valuable insights …

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

In this review, it is our aim 1) to describe the high diversity in molecular and structural
antioxidant defenses against oxidative stress in animals, 2) to extend the traditional concept …

Background Unsupervised compression algorithms applied to gene expression data extract
latent or hidden signals representing technical and biological sources of variation. However …

Imbalanced streaming data is commonly encountered in real-world data mining and
machine learning applications, and has attracted much attention in recent years. Both …

Visual clustering is a common perceptual task in scatterplots that supports diverse analytics
tasks (eg, cluster identification). However, even with the same scatterplot, the ways of …

MicroRNAs (miRNAs) are small endogenous regulatory molecules that modulate gene
expression post-transcriptionally. Although differential expression of miRNAs have been …

Clustering is a useful technique to create different groups of objects on the basis of their
nature. Objects of same group are of similar in nature and differ to the objects of other …