Statistical signal processing applications usually require the estimation of some parameters
of interest given a set of observed data. These estimates are typically obtained either by …

Genome-scale metabolic network reconstructions in microorganisms have been formulated
and studied for about 8 years. The constraint-based approach has shown great promise in …

This new edition continues to serve as a comprehensive guide to modern and classical
methods of statistical computing. The book is comprised of four main parts spanning the …

Although the network topology of metabolism is well known, understanding the principles
that govern the distribution of fluxes through metabolism lags behind. Experimentally, these …

Sampling from the posterior distribution and computing posterior quanti ties of interest using
Markov chain Monte Carlo (MCMC) samples are two major challenges involved in advanced …

Ecologists have long sought to understand how diversity and structure mediate the stability
of whole ecosystems. For high-diversity food webs, the interactions between species are …

The principles governing cellular metabolic operation are poorly understood. Because
diverse organisms show similar metabolic flux patterns, we hypothesized that a fundamental …

Metabolic coupling of Mycobacterium tuberculosis to its host is foundational to its
pathogenesis. Computational genome‐scale metabolic models have shown utility in …

The Warburg effect-a classical hallmark of cancer metabolism-is a counter-intuitive
phenomenon in which rapidly proliferating cancer cells resort to inefficient ATP production …

The development of high-throughput 'omic techniques has sparked a rising interest in
genome-scale metabolic models, with applications ranging from disease diagnostics to crop …