The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …

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

Cross‐virtuality analytics (XVA) is a novel field of research within immersive analytics and
visual analytics. A broad range of heterogeneous devices across the reality–virtuality …

Background We introduce BPG, a framework for generating publication-quality, highly-
customizable plots in the R statistical environment. Results This open-source package …

In this paper, we describe some highlights of the new branch quantitative graph theory and
explain its significant different features compared to classical graph theory. The main goal of …

The use of next-generation sequencing (NGS) techniques for variant detection has become
increasingly important in clinical research and in clinical practice in oncology. Many cancer …

Accurate deep learning (DL) models to predict type 2 diabetes (T2D) are concerned not only
with targeting the discrimination task but also with learning useful feature representation …

Small bowel accounts for only 0.5% of cancer cases in the US but incidence rates have
been rising at 2.4% per year over the past decade. One-third of these are adenocarcinomas …

Modern video-based head-mounted displays allow users to operate along Milgram's entire
reality-virtuality continuum. This opens up the field for novel cross-reality applications that …

Recent advances in single-cell open-chromatin and transcriptome profiling have created a
challenge of exploring novel applications with a meaningful transformation of read-counts …