97 citations · 261 across the 9 of their papers we have counts for
9 papers
DIA-MCIS. An Importance Sampling Network Randomizer for Network Motif Discovery and Other Topological Observables in Transcription Networks
D. Fusco, B. Bassetti, P. Jona +1
Transcription networks, and other directed networks can be characterized by some topological observables such as for example subgraph occurrence (network motifs). In order to perfo…
Hierarchy and Feedback in the Evolution of the E. coli Transcription Network
M. Cosentino Lagomarsino, P. Jona, B. Bassetti +1
The E.coli transcription network has an essentially feedforward structure, with, however, abundant feedback at the level of self-regulations. Here, we investigate how these propert…
Randomization and Feedback Properties of Directed Graphs Inspired by Gene Networks
M. Cosentino Lagomarsino, B. Bassetti, P. Jona
Having in mind the large-scale analysis of gene regulatory networks, we review a graph decimation algorithm, called "leaf-removal", which can be used to evaluate the feedback in a…
Random Networks Tossing Biased Coins
F. Bassetti, M. Cosentino Lagomarsino, B. Bassetti +1
In statistical mechanical investigations on complex networks, it is useful to employ random graphs ensembles as null models, to compare with experimental realizations. Motivated by…
The large-scale logico-chemical structure of a transcriptional regulation network
M. Cosentino Lagomarsino, P. Jona, B. Bassetti
Identity, response to external stimuli, and spatial architecture of a living system are central topics of molecular biology. Presently, they are largely seen as a result of the int…
The Logic Backbone of a Transcription Network
M. Cosentino Lagomarsino, P. Jona, B. Bassetti
A great part of the effort in the study of coarse grained models of transcription networks is directed to the analysis of their dynamical features. In this letter, we consider the…