Genes that follow similar expression trajectories in response to stress or stimulus tend to share biological functions. Thus, it is reasonable and common to cluster genes by expression trajectories.

Abstract: This paper presents an improved method for reducing high-order dynamical system models via clustering. Agglomerative hierarchical clustering based on performance evaluation (HC-PE) is ...

This article will explore the implementation of Agglomerative Hierarchical Clustering, along with understanding dendrograms and various linkage criteria. Further, we will go over a practical example ...

This article describes a non-parametric clustering algorithm with an outlier removal step. Our method is based on tools from topological data analysis: we define a new filtration on metric spaces ...

1 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh. 2 Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany. A social network refers to ...

Hierarchical clustering is a method of cluster analysis that builds a hierarchy of clusters. This technique can be visualized as a tree-like diagram called a dendrogram, where the root represents the ...

Introduction: Multi-view data offer advantages over single-view data for characterizing individuals, which is crucial in precision medicine toward personalized prevention, diagnosis, or treatment ...

These scripts can be used to cluster a parsed set of monomeric protein chains via a global conformational change metric based on CA distances. Once the polypeptide chains destined for clustering have ...

The discovery of hierarchy and community organization has always been considered a problem of determining the correct membership (or memberships) of each node. Notice that, whereas nodes belong to ...