Many bioinformatics methods have been proposed for reducing the complexity of large gene
or protein networks into relevant subnetworks or modules. Yet, how such methods compare …

Background Machine learning algorithms hold potential for improved prediction of all-cause
mortality in cardiovascular patients, yet have not previously been developed with high-…

Background Metabolomics is the comprehensive study of a multitude of small molecules to
gain insight into an organism's metabolism. The research field is dynamic and expanding …

“What about Bafut?” he asked.“Is that a good place? What are the people like?”“There is
only one person you have to worry about in Bafut [...]”

Identification of modules in molecular networks is at the core of many current analysis
methods in biomedical research. However, how well different approaches identify disease-…

The first case of infection of Streptococcus iniae in Adriatic sturgeon (Acipenser naccarii)
was recently reported in a raceway system located in Northern Italy. A second episode of …

With this study we investigated the accumulation of potentially toxic elements (As, Cd, Cr, Cu,
Hg, Pb, Zn), six indicators (28, 52, 101, 138, 153, 180) of non-dioxin-like polychlorinated …

The Mycobacterium fortuitum group (MFG) consists of about 15 species of fast-growing
nontuberculous mycobacteria (NTM). These globally distributed microorganisms can cause …

The nematode Eustrongylides excisus is a parasite of freshwater fish- and fish-eating birds,
with known differences on prevalence values among fish species. Thus, the present study …

Mobile Crowdsensing (MCS) has emerged in the last years and has become one of the
most prominent paradigms for urban sensing. The citizens actively participate in the sensing …