Alzheimer's disease (AD) is a complex disease with its genetic etiology not fully understood.
Gene network-based methods have been proven promising in predicting AD genes …

Lung adenocarcinoma, a subtype of lung cancer, is produced by uncontrolled proliferation of
somatic cells affected by some tumorigenic factors. The origin of this disease can be …

Over the past decades, network biology has been a major driver of computational methods
developed to better understand the functional roles of each gene in the human genome in …

Network-based machine learning (ML) has the potential for predicting novel genes
associated with nearly any health and disease context. However, this approach often uses …

Molecular interaction networks are a vital tool for studying biological systems. While many
tools exist that visualize a protein or a pathway within a network, no tool provides the ability …

Recent breakthroughs in graph representation learning (GRL) methods have vastly
advanced many real-world applications where graph structures naturally arise, such as drug …

Graph learning is revolutionizing the 25-year-old field of network biology by advancing our
ability to gain novel molecular insights into biological functions and complex diseases using …

The genetics and mechanisms underlying most human traits and diseases can be very
complex, where the number of true gene associations can number in the many hundreds …

Over the past decades, network biology has been a major driver of computational methods
developed to better understand the functional roles of each gene in the human genome in …