Splittable systems have emerged as a powerful approach for the precise spatiotemporal
control of biological processes. This concept relies on splitting a functional molecule into …

Complex biological processes, such as cellular differentiation, require intricate rewiring of
intra-cellular signalling networks. Previous characterisations revealed a raised network …

Deciphering the non-trivial interactions and mechanisms driving the evolution of time-
varying complex networks (TVCNs) plays a crucial role in designing optimal control …

The notion of curvature on graphs has recently gained traction in the networks community,
with the Ollivier–Ricci curvature (ORC) in particular being used for several tasks in network …

The pollen tube is a key innovation of land plants that is essential for successful fertilisation.
Its development and growth have been profusely studied in model organisms, but in spite of …

The excessive accumulation of chloride (Cl−) in leaves due to salinity is frequently related to
decreased yield in citrus. Two salt tolerance experiments to detect quantitative trait loci …

Background Extracting meaningful information from unbiased high-throughput data has
been a challenge in diverse areas. Specifically, in the early stages of drug discovery, a …

Community structure is a fundamental topological characteristic of optimally organized brain
networks. Currently, there is no clear standard or systematic approach for selecting the most …

In the studies of neurodegenerative diseases such as Alzheimer's Disease (AD),
researchers often focus on the associations among multi-omics pathogeny based on …

This paper presents a new look at the neural network (NN) robustness problem, from the
point of view of graph theory analysis, specifically graph curvature. Graph curvature (eg …