Degree distributions in protein-protein interaction (PPI) networks are believed to follow a
power law (PL). However, technical and study biases affect the experimental procedures for …

A distance based on the exponential kernel of the adjacency matrix of a graph and
representing how well two vertices connect to each other in a graph is defined and studied …

The coronavirus disease 2019 (COVID-19) pandemic causes many morbidity and mortality
cases. Despite several developed vaccines and antiviral therapies, some patients …

Protein-protein interaction (PPI) networks have been found to be power-law-distributed, ie,
in observed PPI networks, the fraction of nodes with degree k often follows a power-law (PL) …

Identifying genes associated with autism spectrum disorder (ASD) is crucial for
understanding the underlying mechanisms of the disorder. However, ASD is a complex …

Identification of drug–target interaction (DTI) is a crucial step to reduce time and cost in the
drug discovery and development process. Since various biological data are publicly …

Motivation Gene–disease associations are fundamental for understanding disease etiology
and develo** effective interventions and treatments. Identifying genes not yet associated …

Identifying new therapeutic indications for existing drugs is a major challenge in drug
repositioning. Most computational drug repositioning methods focus on known targets …

Breast cancer has the highest diagnosis rate among all cancers. Tumor budding (TB) is
recognized as a recent prognostic marker. Identifying genes specific to high-TB samples is …

Coronavirus disease 2019 (COVID-19) is still an active global public health issue. Although
vaccines and therapeutic options are available, some patients experience severe conditions …