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Münch, Magnus M.
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1

Semi‐supervised empirical Bayes group‐regularized factor re..:

Münch, Magnus M. ; van de Wiel, Mark A. ; van der Vaart, Aad W..
Biometrical Journal.  64 (2022)  7 - p. 1289-1306 , 2022
Link: https://doi.org/10.1002/..
 
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2

Drug sensitivity prediction with normal inverse Gaussian sh..:

Münch, Magnus M. ; van de Wiel, Mark A. ; Richardson, Sylvia.
Biometrical Journal.  63 (2020)  2 - p. 289-304 , 2020
Link: https://doi.org/10.1002/..
 
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3

Adaptive group-regularized logistic elastic net regression:

Münch, Magnus M ; Peeters, Carel F W ; Van Der Vaart, Aad W.
Biostatistics.  22 (2019)  4 - p. 723-737 , 2019
Link: https://doi.org/10.1093/..
 
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4

Learning from a lot: Empirical Bayes for high‐dimensional m..:

van de Wiel, Mark A. ; Te Beest, Dennis E. ; Münch, Magnus M.
Scandinavian Journal of Statistics.  46 (2018)  1 - p. 2-25 , 2018
Link: https://doi.org/10.1111/..
 
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5

Semi-supervised empirical Bayes group-regularized factor re..:

Münch, Magnus M ; van de Wiel, Mark A ; van der Vaart, Aad W.
https://edepot.wur.nl/575312.  , 2022
Link: https://research.wur.nl/..
 
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6

Semi-supervised empirical Bayes group-regularized factor re..:

Münch, Magnus M ; van de Wiel, Mark A ; van der Vaart, Aad W.
http://arxiv.org/abs/2104.02419.  , 2021
Link: http://arxiv.org/abs/210..
 
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7

Learning from a lot: Empirical Bayes for high-dimensional m..:

van de Wiel, Mark A ; te Beest, Dennis E ; Münch, Magnus M
van de Wiel , M A , te Beest , D E & Münch , M M 2019 , ' Learning from a lot: Empirical Bayes for high-dimensional model-based prediction ' , Scandinavian Journal of Statistics , vol. 46 , no. 1 , pp. 2-25 . https://doi.org/10.1111/sjos.12335.  , 2019
Link: https://research.vumc.nl..
 
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8

Learning from a lot:Empirical Bayes for high-dimensional mo..:

van de Wiel, Mark A ; Te Beest, Dennis E ; Münch, Magnus M
van de Wiel , M A , Te Beest , D E & Münch , M M 2019 , ' Learning from a lot : Empirical Bayes for high-dimensional model-based prediction ' , Scandinavian Journal of Statistics , vol. 46 , no. 1 , pp. 2-25 . https://doi.org/10.1111/sjos.12335.  , 2019
Link: https://research.vu.nl/e..
 
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9

An omics-based machine learning approach to predict diabete..:

Slieker, Roderick C. ; Münch, Magnus ; Donnelly, Louise A....
Diabetologia.  67 (2024)  5 - p. 885-894 , 2024
Link: https://doi.org/10.1007/..
 
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10

Diarrhoea of unknown cause: medical treatment in a stepwise..:

Jansson-Rehnberg, Ann-Sofie ; Drewes, Asbjørn Mohr ; Sponheim, Jon...
Scandinavian Journal of Gastroenterology.  59 (2024)  5 - p. 543-546 , 2024
Link: https://doi.org/10.1080/..
 
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11

Mo1209 Clinical Remisison and Quality of Life in Collagenou..:

Münch, Andreas ; Bohr, Johan ; Miehlke, Stephan...
Gastroenterology.  146 (2014)  5 - p. S-586 , 2014
Link: https://doi.org/10.1016/..
 
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12

Genomic footprints of speciation in Atlantic eels (Anguilla..:

Jacobsen, Magnus W. ; Pujolar, Jose Martin ; Bernatchez, Louis...
Molecular Ecology.  23 (2014)  19 - p. 4785-4798 , 2014
Link: https://doi.org/10.1111/..
 
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13

Low-dose budesonide for maintenance of clinical remission i..:

Munch, Andreas ; Bohr, Johan ; Miehlke, Stephan...
Gut, 0017-5749, 2016, 65:1, s. 47-56.  , 2016
Link: http://urn.kb.se/resolve..
 
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14

Low-dose budesonide for maintenance of clinical remission i..:

Münch, Andreas ; Bohr, Johan ; Miehlke, Stephan...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717436/.  , 2016
Link: http://www.ncbi.nlm.nih...
 
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15

Data from: Genome-wide signatures of local selection in the..:

Pujolar, Jose Martin ; Jacobsen, Magnus W ; Als, Thomas D...
doi:10.1111/mec.12753.  , 2014
Link: https://zenodo.org/recor..
 
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