Artificial Intelligence (AI) relies upon a convergence of technologies with further synergies
with life science technologies to capture the value of massive multi-modal data in the form of …

Integrating results from diverse experiments is an essential process in our effort to
understand the logic of complex systems, such as development, homeostasis and …

Many metabolomics, and other high-content or high-throughput, experiments are set up
such that the primary aim is the discovery of biomarker metabolites that can discriminate …

Background The production of peroxide and superoxide is an inevitable consequence of
aerobic metabolism, and while these particular'reactive oxygen species'(ROSs) can exhibit a …

Recent studies across multiple tumour types are starting to reveal a recurrent regulatory
architecture in which genomic alterations cluster upstream of functional master regulator …

In this review we give an overview of computational and statistical methods to reconstruct
cellular networks. Although this area of research is vast and fast developing, we show that …

Background Biological networks are highly dynamic in response to environmental and
physiological cues. This variability is in contrast to conventional analyses of biological …

Combinatorial optimization problems over large and complex systems have many
applications in social networks, image processing, artificial intelligence, computational …

Background Gene regulatory networks reveal how genes work together to carry out their
biological functions. Reconstructions of gene networks from gene expression data greatly …

For the last years, the research and development in the field of Renewable Energy has been
growing due to the need of Renewable Energy as an extended and reliable source of …