Paul E. Anderson

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What features characterize complex system dynamics? Power laws and scale invariance of fluctuations are often taken as the hallmarks of complexity, drawing on analogies with equilibrium critical phenomena. Here we argue that slow, directed dynamics, during which the system's properties change significantly, is fundamental. The underlying dynamics is related(More)
We study the evolution of the network properties of a populated network embedded in a genotype space characterized by either a low or a high number of potential links, with particular emphasis on the connectivity and clustering. Evolution produces two distinct types of network. When a specific genotype is only able to influence a few other genotypes, the(More)
We describe Data Science, a four-year undergraduate program in predictive analytics, machine learning, and data mining implemented at the College of Charleston, Charleston, South Carolina, USA. We present a ten-year status report detailing the program's origins, successes, and challenges. Our experience demonstrates that education and training for big data(More)
Organophosphates are a group of pesticides and chemical warfare nerve agents that inhibit acetylcholinesterase, the enzyme responsible for hydrolysis of the excitatory neurotransmitter acetylcholine. Numerous structural variants exist for this chemical class, and data regarding their toxicity can be difficult to obtain in a timely fashion. At the same time,(More)
MOTIVATION Common contemporary practice within the nuclear magnetic resonance (NMR) metabolomics community is to evaluate and validate novel algorithms on empirical data or simplified simulated data. Empirical data captures the complex characteristics of experimental data, but the optimal or most correct analysis is unknown a priori; therefore, researchers(More)
Nuclear magnetic resonance (NMR) spectroscopy is a non-invasive method of acquiring a metabolic profile from biofluids. This metabolic information may provide keys to the early detection of exposure to a toxin. A typical NMR toxicology data set has low sample size and high dimen-sionality. Thus, traditional pattern recognition techniques are not always(More)
Molecular studies of bacterial virulence are enhanced by expression of recombinant DNA during infection to allow complementation of mutants and expression of reporter proteins in vivo. For highly pathogenic bacteria, such as Yersinia pestis, these studies are currently limited because deliberate introduction of antibiotic resistance is restricted to those(More)
This paper discusses the learning strategies adopted in a publically available, cloud-based learning environment, Learn2Mine, which facilitates student-progress as they solve data science programming problems. The learning system has been evaluated over three consecutive terms. Learn2Mine was initially introduced in an introductory course and pilot-tested(More)