Richard Marchese Robinson

Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets

Richard Marchese Robinson, Anna Palczewska, Jan Palczewski et al. · Journal of Chemical Information and Modeling · 2017 · 165 citations

How should the completeness and quality of curated nanomaterial data be evaluated?

Richard Marchese Robinson, Iseult Lynch, Willie J.G.M. Peijnenburg et al. · Nanoscale · 2016 · 106 citations · Full text

Nanoparticles, Engineering, Data Curation +23

Molecular fingerprint-derived similarity measures for toxicological read-across: Recommendations for optimal use

Claire L. Mellor, Richard Marchese Robinson, Romualdo Benigni et al. · Regulatory Toxicology and Pharmacology · 2018 · 100 citations · Full text

Predictive Toxicology, Toxicological Read-across, Bioanalysis +15

Hierarchical virtual screening for the discovery of new molecular scaffolds in antibacterial hit identification

Pedro J. Ballester, Martina Mangold, Nigel Howard et al. · Journal of The Royal Society Interface · 2012 · 83 citations · Full text

Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations

Sandra Karcher, Egon Willighagen, John Rumble et al. · NanoImpact · 2017 · 78 citations · Full text