Biomolecular networks are often assumed to be scale-free hierarchical networks. The
weighted gene co-expression network analysis (WGCNA) treats gene co-expression …

Creating biomaterials that are suited for clinical application is still hampered by a lack of
understanding of the interaction between a cell and the biomaterial surface it grows on. This …

Rapid advance in single-cell RNA sequencing (scRNA-seq) allows measurement of the
expression of genes at single-cell resolution in complex disease or tissue. While many …

Effect of organochlorine pesticides (OCPs) mixtures on development of type 2 diabetes
mellitus (T2DM) and the underlying mechanism, especially at protein levels, are largely …

Clustering is one of the primary functions in data mining explorations and statistical data
analysis which widely used in various fields. There are two types of the clustering algorithms …

The accelerating growth in scientific literature is overwhelming our capacity to manually distil
complex phenomena like molecular networks linked to diseases. Moreover, confirmation …

Respiratory syncytial virus (RSV) is the most important cause of respiratory tract illness
especially in young infants that develop severe disease requiring hospitalization, and …

Human brain imaging provides reliable and fast information in clinical diagnosis, and a
precise brain image allows researchers to effectively understand the lesions of the patients …

The spatial interpolation method estimates the value of the unobserved locations in
geographical space based on the spatial relationship between the position of the unknown …

Clustering is categorized as unsupervised learning because there is no class label
information available in grouping a dataset. For this reason, an assessment of the quality of …