E-LIB Suche - Ergebnisse für: Münch, Magnus

1

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/..

2

Infection and RNA-seq analysis of a zebrafish tlr2 mutant s..:

Hu, Wanbin ; Yang, Shuxin ; Shimada, Yasuhito...
BMC Genomics. 20 (2019) 1 - p. , 2019

Link: https://doi.org/10.1186/..

3

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/..

4

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/..

5

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/..

6

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/..

7

Infection and RNA-seq analysis of a zebrafish tlr2 mutant s..:

Hu, Wanbin ; Yang, Shuxin ; Shimada, Yasuhito...
Hu , W , Yang , S , Shimada , Y , Münch , M , Marín-Juez , R , Meijer , A H & Spaink , H P 2019 , ' 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 Mycobacterium marinum infection ' , BMC Genomics , vol. 20 , no. 1 , 878 . https://doi.org/10.1186/s12864-019-6265-1. , 2019

Link: https://research.vumc.nl..

8

Learning from a lot: Empirical Bayes in high-dimensional pr..:

van de Wiel, Mark A ; Beest, Dennis E. te ; Münch, Magnus
http://arxiv.org/abs/1709.04192. , 2017

Link: http://arxiv.org/abs/170..

9

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/..

10

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..

11

Drug sensitivity prediction with normal inverse Gaussian sh..:

Münch, Magnus M ; van de Wiel, Mark A ; Richardson, Sylvia.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891636/. , 2020

Link: http://www.ncbi.nlm.nih...

12

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..

13

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..

14

Adaptive group-regularized logistic elastic net regression:

Münch, Magnus M ; Peeters, Carel F. W ; van der Vaart, Aad W.
http://arxiv.org/abs/1805.00389. , 2018

Link: http://arxiv.org/abs/180..

15

Infection and RNA-seq analysis of a zebrafish tlr2 mutant s..:

Wanbin Hu ; Shuxin Yang ; Yasuhito Shimada...
http://link.springer.com/article/10.1186/s12864-019-6265-1. , 2019

Link: https://doi.org/10.1186/..