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Magnus Münch
Magnus Münch
PhD candidate, Leiden University
Verified email at math.leidenuniv.nl
Title
Cited by
Cited by
Year
Infection and RNA-seq analysis of a zebrafish tlr2 mutant shows a broad function of this toll-like receptor in transcriptional and metabolic control and defense to …
W Hu, S Yang, Y Shimada, M Münch, R Marín-Juez, AH Meijer, ...
BMC genomics 20, 1-18, 2019
352019
Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction
MA van de Wiel, DE Te Beest, MM Münch
Scandinavian Journal of Statistics 46 (1), 2-25, 2019
282019
Adaptive group-regularized logistic elastic net regression
MM Münch, CFW Peeters, AW Van Der Vaart, MA Van De Wiel
Biostatistics 22 (4), 723-737, 2021
242021
Semi‐supervised empirical Bayes group‐regularized factor regression
MM Münch, MA van de Wiel, AW van der Vaart, CFW Peeters
Biometrical Journal 64 (7), 1289-1306, 2022
52022
Drug sensitivity prediction with normal inverse Gaussian shrinkage informed by external data
MM Münch, MA van de Wiel, S Richardson, GGR Leday
Biometrical Journal 63 (2), 289-304, 2021
22021
Learning from a lot: Empirical Bayes in high-dimensional prediction settings
MA van de Wiel, DE Beest, M Münch
arXiv preprint arXiv:1709.04192, 2017
22017
An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study
RC Slieker, M Münch, LA Donnelly, GA Bouland, I Dragan, D Kuznetsov, ...
Diabetologia, 1-10, 2024
12024
RNA-seq analysis of a zebrafish tlr2 mutant shows a broad function of this Toll-like receptor in transcriptional and metabolic control and defense to Mycobacterium marinum …
S Yang, W Hu, Y Shimada, M Münch, R Marín-Juez, AH Meijer, ...
bioRxiv, 742601, 2019
12019
Empirical Bayes applications in biomedical high-dimensional prediction
MM Münch
Leiden University, 2021
2021
Using co-data to empower genomics-based prediction and variable selection
MM Münch, MM Van Nee, MA van de Wiel
Book of short papers-SIS 2020, 34-39, 2020
2020
Lifting the curse of dimensionality
MM Münch, M van de Wiel, A van der Vaart
2016
Empirical Ba es applications in biomedical high-dimensional prediction
MM Münch
Adaptive group-regularized logistic elastic net regression Supplementary material
MM Münch, CFW Peeters, AW van der Vaart, MA van de Wiel
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