Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …

Background: Precision medicine puts forward customized healthcare for cancer patients. An
important way to accomplish this task is to stratify patients into those who may respond to a …

Motivation Catastrophic transitions are ubiquitous in the dynamic progression of complex
biological systems; that is, a critical transition at which complex systems suddenly shift from …

Motivation Disease module mining methods (DMMMs) extract subgraphs that constitute
candidate disease mechanisms from molecular interaction networks such as protein–protein …

Motivation Asthma is a heterogeneous disease where various subtypes are established and
molecular biomarkers of the subtypes are yet to be discovered. Recent availability of multi …

A key challenge in systems biology is the elucidation of the underlying principles, or
fundamental laws, which determine the cellular phenotype. Understanding how these …

Motivation Identification of genes that can be used to predict prognosis in patients with
cancer is important in that it can lead to improved therapy, and can also promote our …

Esophageal squamous cell carcinoma (ESCC) is the eighth cause of cancer‐related deaths
worldwide. To screen potential biomarkers associated with early recurrence/metastasis …

In 2011,> 2.5 million people died from only 15 causes in the United States. Ten of these
involved complex or infectious diseases for which there is insufficient knowledge or …

Abstract Machine learning may be a powerful approach to more accurate identification of
genes that may serve as prognosticators of cancer outcomes using various types of omics …