Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
Metabolomics is the measurement of metabolites in biological samples to reveal information on metabolic pathways and phenotypes. Cluster analysis is a popular multivariate technique employed in ...
Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...
H_index, The h-index of the journal, which measures both the productivity and citation impact of the publications. g_index, The g-index of the journal, which gives more weight to highly-cited articles ...
We developed Tapioca, an integrative ensemble machine learning-based framework, to accurately predict global protein–protein interaction network dynamics. Tapioca enabled the characterization of host ...
Laboratory of Microbial and Bio-Chemical Technology (Lab μBCT), Department of Microbial and Molecular Systems, KU Leuven-Bruges Campus, Brugge, Belgium. It is important that a preservative is added to ...
Another of the most commonly studied GDEPTs is the Cytosine Deaminase (CD) suicide gene system, which deaminases the prodrug, 5-fluorocytosine, into 5-fluorouracil, and causes death through a similar ...
School of Chemistry, University of Birmingham, Birmingham B15 2TT, U.K. *R.G.: e-mail, [email protected]; tel, +44 121 414 6119.
Prompted by the increasing interest in networks in many fields, we present an attempt at unifying points of view and analyses of these objects coming from the social sciences, statistics, probability ...
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