Community detection recognizes groups of densely connected nodes across networks, one
of the fundamental procedures in network analysis. This research boosts the standard but …

Abstract Background The Suboptimal Health Status Questionnaire-25 (SHSQ-25) is a
distinctive medical psychometric diagnostic tool designed for the early detection of chronic …

Graph clustering has received considerable attention recently, and its applications are
numerous, ranging from the detection of social communities to the clustering of computer …

Breast cancer is a prominent global health concern, as the data from the International
Agency for Research on Cancer (IARC) shows that breast cancer is the leading cancer type …

Graph clustering has attracted many interests in recent years, with numerous applications
ranging from the clustering of computer networks to the detection of social communities. It …

In 2020, breast cancer was the most common type of new cancer cases and caused the
death of 0.69 million people worldwide. As it is famous and lethal, this paper aims to …

Community detection in complex networks (graphs) has been the subject of investigation in
numerous domains. In biological networks, communities are functionally contextual and …

L'avalanche des données issues de la cascade des «omics», et en particulier la
cartographie des interactions protéine-protéine (l'interactome), permettent aujourd'hui-grâce …

Jaringan interaksi protein-protein merupakan hal penting pada setiap proses yang terjadi
dalam sel biologis karena dapat digunakan untuk mempelajari kondisi fisiologis sel ketika …

One of the metabolic diseases with a rising prevalence in Indonesia is Type 2 Diabetes
Mellitus (T2DM). A collective effort from various sectors is required to seek solutions for …