Networks and network analysis are arguably one of the largest growth areas of the early
twenty-first century in the quantitative sciences. Despite roots in social network analysis going …

Large sets of data, such as expression profiles from many samples, require analytic tools to
reduce their complexity. The Iterative Signature Algorithm (ISA) is a biclustering algorithm. It …

Abstract Changes in gene expression are thought to underlie many of the phenotypic
differences between species. However, large-scale analyses of gene expression evolution were …

The network models discussed in the previous chapter serve a variety of useful purposes.
Yet for the purpose of statistical model building, they come up short. Indeed, as Robins and …

Cells respond to their environment by modulating protein levels through mRNA transcription
and post-transcriptional control. Modest observed correlations between global steady-state …

ExPASy ( http://www.expasy.org ) has worldwide reputation as one of the main bioinformatics
resources for proteomics. It has now evolved, becoming an extensible and integrative …

This paper reports results of a network theory approach to the study of the United States patent
system. We model the patent citation network as a discrete time, discrete space stochastic …

The genetic dissection of the phenotypes associated with Williams-Beuren Syndrome (WBS)
is advancing thanks to the study of individuals carrying typical or atypical structural …

IGraph/M 1 is an efficient general purpose graph theory and network analysis package for
Mathematica (Wolfram Research, Inc., 2022). IGraph/M serves as the Wolfram Language …

Both the central and the peripheral nervous systems are prone to multiple age‐dependent
neurological deficits, often attributed to still unknown alterations in the function of myelinating …