James Lefevre

Clustering Compresses Attractors in Watts-Strogatz Threshold Boolean Networks

The paper investigates whether higher clustering in Watts-Strogatz networks reduces attractor periods, finding a robust 13-15% decrease per 0.10 increase in clustering coefficient.

Optimisation of Weighted Ensembles of Genomic Prediction Models in Maize

This study evaluates three weight optimisation approaches for genomic prediction ensembles in maize, finding that weighted models improve prediction performance when weights differ from equal weights, but no single method clearly outperforms others.

Optimal control of Multiple Myeloma assuming drug evasion and off-target effects

This paper models Multiple Myeloma treatment with Daratumumab, incorporating drug evasion and off-target effects, and uses optimal control to show increased treatment duration and costs.

Hypergraphs and centrality measures identifying keyfeatures in gene expression data

The paper introduces hypergraphs and centrality measures to identify key features in gene expression data using Senecio lautus plant data.