The ultimate proof of our understanding of natural or technological systems is reflected in
our ability to control them. Although control theory offers mathematical tools for steering …

A quantitative description of a complex system is inherently limited by our ability to estimate
the system’s internal state from experimentally accessible outputs. Although the …

A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the network …

Finding an optimal set of nodes, called key players, whose activation (or removal) would
maximally enhance (or degrade) a certain network functionality, is a fundamental class of …

How disease-associated mutations impair protein activities in the context of biological networks
remains mostly undetermined. Although a few renowned alleles are well characterized, …

Controlling large natural and technological networks is an outstanding challenge. It is typically
neither feasible nor necessary to control the entire network, prompting us to explore target …

We introduce the concept of control centrality to quantify the ability of a single node to control
a directed weighted network. We calculate the distribution of control centrality for several …

AIM: To investigate the effects of probiotic on intestinal mucosae of patients with ulcerative
colitis (UC), and to evaluate the role of probiotic in preventing the relapse of UC. METHODS: …

Recent studies have made important advances in identifying sensor or driver nodes, through
which we can observe or control a complex system. But the observational uncertainty …

We conducted a joint (pooled) analysis of three genome-wide association studies (GWAS) 1
, 2 , 3 of esophageal squamous cell carcinoma (ESCC) in individuals of Chinese ancestry (…