Network biology, an interdisciplinary field at the intersection of computational and biological
sciences, is critical for deepening understanding of cellular functioning and disease. While …

Next-generation sequencing approaches and genome-wide studies have become essential
for characterizing the mechanisms of human diseases. Consequently, many researchers …

Motivation Differential network analysis, designed to highlight network changes between
conditions, is an important paradigm in network biology. However, differential network …

Understanding the spatial ecology of sturgeon (Acipenseridae) has proven to be a
challenge due to the life history characteristics of these fish, especially their long life span …

Robust identification of context-specific network features that control cellular phenotypes
remains a challenge. We here introduce MOBILE (Multi-Omics Binary Integration via Lasso …

Background: Alzheimer's disease (AD) is the most common type of dementia. Scientists
have discovered that the causes of AD may include a combination of genetic, lifestyle, and …

Background Biological networks contribute effectively to unveil the complex structure of
molecular interactions and to discover driver genes especially in cancer context. It can …

Constructing a directed cyclic graph (DCG) is challenged by both algorithmic difficulty and
computational burden. Comparing multiple DCGs is even more difficult, compounded by the …

Motivation A complex disease is usually driven by a number of genes interwoven into
networks, rather than a single gene product. Network comparison or differential network …

To study the roles that different nodes play in differentiating Bayesian networks under two
states, such as control versus disease, we formulate two node‐specific scores to facilitate …