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de Gunst, Mathisca C. M.
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1

Bayesian mixture regression analysis for regulation of Plur..:

Aflakparast, Mehran ; Geeven, Geert ; de Gunst, Mathisca C.M.
BMC Bioinformatics.  21 (2020)  1 - p. , 2020
Link: https://doi.org/10.1186/..
 
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2

Reconstruction of molecular network evolution from cross‐se..:

Aflakparast, Mehran ; de Gunst, Mathisca C. M. ; van Wieringen, Wessel N.
Biometrical Journal.  60 (2018)  3 - p. 547-563 , 2018
Link: https://doi.org/10.1002/..
 
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3

GENE NETWORK RECONSTRUCTION USING GLOBAL-LOCAL SHRINKAGE PR..:

Leday, Gwenaël G. R. ; de Gunst, Mathisca C. M. ; Kpogbezan, Gino B....
The Annals of Applied Statistics.  11 (2017)  1 - p. 41-68 , 2017
Link: http://www.jstor.org/sta..
 
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4

Existence and uniqueness of the maximum likelihood estimato..:

Roś, Beata ; Bijma, Fetsje ; de Munck, Jan C..
Journal of Multivariate Analysis.  143 (2016)  - p. 345-361 , 2016
Link: https://doi.org/10.1016/..
 
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5

A three domain covariance framework for EEG/MEG data:

Roś, Beata P. ; Bijma, Fetsje ; de Gunst, Mathisca C.M..
NeuroImage.  119 (2015)  - p. 305-315 , 2015
Link: https://doi.org/10.1016/..
 
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6

Comparison of Targeted Maximum Likelihood and Shrinkage Est..:

Geeven, Geert ; van der Laan, Mark J. ; de Gunst, Mathisca C.M.
Statistical Applications in Genetics and Molecular Biology.  11 (2012)  5 - p. , 2012
Link: https://doi.org/10.1515/..
 
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7

LLM3D: a log-linear modeling-based method to predict functi..:

Geeven, Geert ; MacGillavry, Harold D. ; Eggers, Ruben...
Nucleic Acids Research.  39 (2011)  13 - p. 5313-5327 , 2011
Link: https://doi.org/10.1093/..
 
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8

Identification of context-specific gene regulatory networks..:

Geeven, Geert ; van Kesteren, Ronald E. ; Smit, August B..
Bioinformatics.  28 (2011)  2 - p. 214-221 , 2011
Link: https://doi.org/10.1093/..
 
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9

CORRIGENDUM: Identification of candidate transcriptional mo..:

Stam, Floor J. ; MacGillavry, Harold D. ; Armstrong, Nicola J....
European Journal of Neuroscience.  26 (2007)  4 - p. 1078-1078 , 2007
Link: https://doi.org/10.1111/..
 
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10

Identification of candidate transcriptional modulators invo..:

Stam, Floor J. ; MacGillavry, Harold D. ; Armstrong, Nicola J....
European Journal of Neuroscience.  25 (2007)  12 - p. 3629-3637 , 2007
Link: https://doi.org/10.1111/..
 
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11

Morphine exposure and abstinence define specific stages of ..:

Spijker, Sabine ; Houtzager, Siard W. J. ; Gunst, Mathisca C. M....
The FASEB Journal.  18 (2004)  7 - p. 848-850 , 2004
Link: https://doi.org/10.1096/..
 
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12

Exploring heterogeneity in tumour data using Markov chain M..:

de Gunst, Mathisca C. M. ; Dewanji, Anup ; Luebeck, E. Georg
Statistics in Medicine.  22 (2003)  10 - p. 1691-1707 , 2003
Link: https://doi.org/10.1002/..
 
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13

Quantitative analysis of two-dimensional observations of pr..:

De Gunst, Mathisca C.M. ; Georg Luebeck, E.
Mathematical Biosciences.  119 (1994)  1 - p. 5-34 , 1994
Link: https://doi.org/10.1016/..
 
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14

Reply:

de Gunst, Mathisca C.M. ; Libbenga, Kees R.
Enzyme and Microbial Technology.  14 (1992)  9 - p. 769-771 , 1992
Link: https://doi.org/10.1016/..
 
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15

A non-Markovian model for cell population growth: speed of ..:

de Gunst, Mathisca C.M. ; van Zwet, Willem R.
Stochastic Processes and their Applications.  41 (1992)  2 - p. 297-324 , 1992
Link: https://doi.org/10.1016/..
 
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