Network Medicine applies network science approaches to investigate disease
pathogenesis. Many different analytical methods have been used to infer relevant molecular …

Precision medicine research increasingly relies on the integrated analysis of multiple types
of omics. In the era of big data, the large availability of different health‐related information …

Motivation Disease gene prioritization consists in identifying genes that are likely to be
involved in the mechanisms of a given disease, providing a ranking of such genes. Recently …

Scientific and technological advances in medicine and systems biology have unequivocally
shown that health and disease must be viewed in the context of the interplay among multiple …

Human gene sequences are considered a primary source of comprehensive information
about different body conditions. A wide variety of diseases including cancer, heart issues …

Networks-based approaches are often used to analyze gene expression data or protein–
protein interactions but are not usually applied to study the relationships between different …

Hormonal contraceptives (HCs) have been shown to be safe and effective when used
correctly and consistently, however, as other classes of drugs, they are also associated with …

Disease gene prediction is to date one of the main computational challenges of precision
medicine. It is still uncertain if disease genes have unique functional properties that …

Low-density lipoprotein cholesterol (LDL-c) is both a therapeutic target and a risk factor for
cardiovascular disease (CVD). MicroRNA (miRNA) has been shown to regulate cholesterol …

Prioritizing candidate genes is essential for genome-based diagnostics of various hereditary
disorders. Furthermore, it is a difficult task with particular and noisy information about genes …