Motivation Graphs or networks are widely utilized to model the interactions between different
entities (eg proteins, drugs, etc.) for biomedical applications. Predicting potential …

CCDC58, a member of the CCDC protein family, has been primarily associated with the
malignant progression of hepatocellular carcinoma (HCC) and breast cancer, with limited …

Multimorbidity, frequently associated with aging, can be operationally defined as the
presence of two or more chronic conditions. Predicting the likelihood of a patient with …

Abstract Netrin-1 (NTN1) is a laminin-related secreted protein involved in axon guidance
and cell migration. Previous research has established a significant connection between …

Maximal biclique enumeration is a fundamental problem in bipartite graph data analysis.
Existing biclique enumeration methods mainly focus on non-attributed bipartite graphs and …

Current visualizations in microbiome research rely on aggregations in taxonomic
classifications or do not show less abundant taxa. We introduce Snowflake: a new …

Clustering plays an important role in a multitude of bioinformatics applications, including
protein function prediction, population genetics, and gene expression analysis. The results …

Background Oral squamous cell carcinoma (OSCC) is an aggressive malignancy with poor
prognosis. Neutrophil infiltration has been associated with unfavorable outcomes in OSCC …

Bipartite graphs are widely used for modelling various real-world scenarios characterized
with binary relations, such as, scholarly articles recommendation with author-paper …

Background Neddylation (NAE) inhibition, affecting posttranslational protein function and
turnover, is a promising therapeutic approach to cancer. We report cytotoxic vulnerability to …