Biological networks are powerful resources for the discovery of genes and genetic modules
that drive disease. Fundamental to network analysis is the concept that genes underlying the …

The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …

Background The COVID-19 pandemic is a significant public health crisis that is hitting hard
on people's health, well-being, and freedom of movement, and affecting the global economy …

Congenital anomalies of the kidney and urinary tract (CAKUT) comprise a large variety of
malformations that arise from defective kidney or urinary tract development and frequently …

The discovery of novel drug targets is a significant challenge in drug development. Although
the human genome comprises approximately 30,000 genes, proteins encoded by fewer than …

Disease–gene association through genome-wide association study (GWAS) is an arduous
task for researchers. Investigating single nucleotide polymorphisms that correlate with …

Background To understand the roles they play in complex diseases, genes need to be
investigated in the networks they are involved in. Integration of gene expression and …

High‐throughput DNA sequencing techniques enable large‐scale measurement of somatic
mutations in tumors. Cancer genomics research aims at identifying all cancer‐related genes …

Prioritising candidate genes for further experimental characterisation is a non-trivial
challenge in drug discovery and biomedical research in general. An integrated approach …

Colorectal cancer is one of the most common leading causes of death worldwide. Prognostic
at an early stage is a useful way that decrease and avoid mortality. Although remarkable …