Cluster analysis, a commonly used machine-learning technique, uses these basic features to not only categorize materials and ...

Toward systematic gene function analysis from microarray data, we evaluated several methods of cluster analysis using a publicly available yeast microarray data set, which was effective in ...

After an in-depth analysis of the genetic material from hundreds of swabs taken from the walls, floors, machines and drains ...

Market segmentation is a widely accepted concept in marketing research and planning. Although cluster analysis has been extensively applied to segment markets in the last 50 years, the ways in which ...

A novel approach to analyzing single-cell RNA sequencing (scRNA-seq) data has been unveiled by NUS researchers. This method ...

A data-driven analysis of a large cohort of patients with ANCA-associated vasculitis subclassified the condition into five ...

The HBS compute cluster (HBSGrid) is an advanced computing environment that provides high-speed, high-capacity computing resources to enable HBS researchers to scale up effectively and efficiently ...

A novel approach to analysing single-cell RNA sequencing (scRNA-seq) data has been unveiled by researchers from the National University of Singapore. This method promises to enhance both the precision ...

Researchers from the University of Kansas have published findings in the journal Ichthyology & Herpetology describing a new ...

BackgroundIdiopathic pulmonary fibrosis (IPF) is a chronic progressive interstitial lung disease characterized by unexplained ...

A Liverpool City Council building in south-west Sydney has been ruled out as the site of a cancer cluster after a thorough ...