Meinshausen, Nicolai

Greenhouse-gas emission targets for limiting global warming to 2 °C

Meinshausen, M., Meinshausen, N., Hare, W., Raper, S. C. B., Frieler, K., Knutti, R., Frame, D. J., & Allen, M. R. (2009) · Nature

Climate Change Policy and EconomicsClimate variability and models

Cited by 2,775

High-dimensional graphs and variable selection with the Lasso

Meinshausen, N., & Bühlmann, P. (2006) · The Annals of Statistics

Statistical Methods and InferenceSparse and Compressive Sensing Techniques

Cited by 2,521

The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500

Meinshausen, M., Nicholls, Z. R. J., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., Beyerle, U., Gessner, C., Nauels, A., Bauer, N., et al. (2020) · Geoscientific Model Development

Climate variability and modelsClimate Change Policy and Economics

Cited by 1,815

Methods for causal inference from gene perturbation experiments and validation

Meinshausen, N., Hauser, A., Mooij, J. M., Peters, J., Versteeg, P., & Bühlmann, P. (2016) · Proceedings of the National Academy of Sciences

Gene Regulatory Network AnalysisBayesian Modeling and Causal Inference

Cited by 140

A Polymorphic p53 Response Element in KIT Ligand Influences Cancer Risk and Has Undergone Natural Selection

Zeron-Medina, J., Wang, X., Repapi, E., Campbell, M. R., Su, D., Castro-Giner, F., Davies, B., Peterse, E. F. P., Sacilotto, N., Walker, G. J., et al. (2013) · Cell

Cancer-related Molecular PathwaysGenetic Associations and Epidemiology

Cited by 118

Predicting sepsis using deep learning across international sites: a retrospective development and validation study

Moor, M., Bennett, N., Plečko, D., Horn, M., Rieck, B., Meinshausen, N., Bühlmann, P., & Borgwardt, K. (2023) · eClinicalMedicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 118