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ORCIDErnst Wit
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2020 – today
- 2024
[j35]Matteo Framba, Veronica Vinciotti
, Ernst C. Wit:
Latent event history models for quasi-reaction systems. Comput. Stat. Data Anal. 198: 107996 (2024)- [j34]Giacomo Ceoldo, Tom A. B. Snijders, Ernst C. Wit:
Stochastic actor oriented model with random effects. Soc. Networks 78: 150-163 (2024) - [j33]Edoardo Filippi-Mazzola, Ernst C. Wit:
Modeling non-linear effects with neural networks in Relational Event Models. Soc. Networks 79: 25-33 (2024) - [c4]Edoardo Filippi-Mazzola, Federica Bianchi, Ernst C. Wit:
Analyzing non-linear network effects in the European interbank market. SDS 2024: 16-22 - 2023
- [j32]Luca Del Core, Danilo Pellin, Ernst C. Wit, Marco Grzegorczyk:
Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis. Bioinform. 39(10) (2023) - [j31]Luca Del Core, Danilo Pellin, Ernst C. Wit, Marco Grzegorczyk:
A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies. BMC Bioinform. 24(1): 228 (2023) - [j30]Luigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti:
cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values. J. Stat. Softw. 105(1) (2023) - [j29]Pariya Behrouzi, Danny Arends, Ernst C. Wit:
netgwas: An R Package for Network-Based Genome Wide Association Studies. R J. 14(4): 18-37 (2023) - [c3]Pietro Miotti, Edoardo Filippi-Mazzola, Ernst C. Wit, Igor V. Pivkin:
Estimating Parameters of 3D Cell Model Using a Bayesian Recursive Global Optimizer (BaRGO). ICCS (3) 2023: 337-344 - [i4]Igor Artico, Ernst Wit:
Fast inference of latent space dynamics in huge relational event networks. CoRR abs/2303.17460 (2023) - [i3]Edoardo Filippi-Mazzola, Ernst C. Wit:
Modeling non-linear Effects with Neural Networks in Relational Event Models. CoRR abs/2312.12357 (2023) - 2022
- [j28]Hassan Pazira, Luigi Augugliaro, Ernst C. Wit:
A Software Tool For Sparse Estimation Of A General Class Of High-dimensional GLMs. R J. 14(1): 34-53 (2022) - [j27]Ruta Juozaitiene, Ernst C. Wit:
Non-parametric estimation of reciprocity and triadic effects in relational event networks. Soc. Networks 68: 296-305 (2022) - 2021
- [j26]Fentaw Abegaz, Anne-Claire M. F. Martines, Marcel A. Vieira-Lara, Melany Rios-Morales, Dirk-Jan Reijngoud, Ernst C. Wit, Barbara M. Bakker:
Bistability in fatty-acid oxidation resulting from substrate inhibition. PLoS Comput. Biol. 17(8) (2021) - 2020
- [j25]E. Balafas Spyros, Wim P. Krijnen, Wendy J. Post, Ernst C. Wit:
mudfold: An R Package for Nonparametric IRT Modelling of Unfolding Processes. R J. 12(1): 49 (2020) - [j24]Ruta Uzupyte, Ernst C. Wit:
Test for triadic closure and triadic protection in temporal relational event data. Soc. Netw. Anal. Min. 10(1): 21 (2020)
2010 – 2019
- 2019
- [j23]Danilo Pellin, Luca Biasco, Alessandro Aiuti, Clelia Di Serio, Ernst C. Wit:
Penalized inference of the hematopoietic cell differentiation network via high-dimensional clonal tracking. Appl. Netw. Sci. 4(1): 115 (2019) - [j22]Pariya Behrouzi, Ernst C. Wit:
De novo construction of polyploid linkage maps using discrete graphical models. Bioinform. 35(7): 1083-1093 (2019) - [j21]Antonino Abbruzzo, Ivan Vujacic, Angelo M. Mineo, Ernst C. Wit:
Selecting the tuning parameter in penalized Gaussian graphical models. Stat. Comput. 29(3): 559-569 (2019) - 2018
- [j20]Hassan Pazira, Luigi Augugliaro, Ernst Wit:
Extended differential geometric LARS for high-dimensional GLMs with general dispersion parameter. Stat. Comput. 28(4): 753-774 (2018) - 2016
- [j19]Veronica Vinciotti, Ernst C. Wit, Rick Jansen, Eco J. C. de Geus, Brenda W. J. H. Penninx, Dorret I. Boomsma, Peter A. C. 't Hoen:
Consistency of biological networks inferred from microarray and sequencing data. BMC Bioinform. 17: 254 (2016) - [j18]Mirko Signorelli, Veronica Vinciotti, Ernst C. Wit:
NEAT: an efficient network enrichment analysis test. BMC Bioinform. 17: 352 (2016) - [i2]Mirko Signorelli, Ernst C. Wit:
A penalized inference approach to stochastic blockmodelling of community structure in the Italian Parliament. CoRR abs/1607.08743 (2016) - 2015
- [j17]Ernst C. Wit, Antonino Abbruzzo:
Inferring slowly-changing dynamic gene-regulatory networks. BMC Bioinform. 16(S-6): S5 (2015) - [j16]Ernst Wit, Antonino Abbruzzo:
Factorial graphical models for dynamic networks. Netw. Sci. 3(1): 37-57 (2015) - [j15]Ivan Vujacic, Itai Dattner, Javier González, Ernst Wit:
Time-course window estimator for ordinary differential equations linear in the parameters. Stat. Comput. 25(6): 1057-1070 (2015) - 2014
- [j14]Javier González, Ivan Vujacic, Ernst Wit:
Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations. Pattern Recognit. Lett. 45: 26-32 (2014) - [e1]Enrico Formenti, Roberto Tagliaferri, Ernst Wit:
Computational Intelligence Methods for Bioinformatics and Biostatistics - 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8452, Springer 2014, ISBN 978-3-319-09041-2 [contents] - 2013
- [j13]Yanchun Bao, Veronica Vinciotti, Ernst Wit, Peter A. C. 't Hoen:
Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data. BMC Bioinform. 14: 169 (2013) - [j12]Abdolreza Mohammadi, Mohammad Reza Salehi Rad, Ernst C. Wit:
Using mixture of Gamma distributions for Bayesian analysis in an M/G/1 queue with optional second service. Comput. Stat. 28(2): 683-700 (2013) - [c2]Antonio Abbruzzo, Clelia Di Serio, Ernst Wit:
Dynamic Gaussian Graphical Models for Modelling Genomic Networks. CIBB 2013: 3-12 - [i1]Anani Lotsi, Ernst Wit:
High dimensional Sparse Gaussian Graphical Mixture Model. CoRR abs/1308.3381 (2013) - 2012
- [j11]Ernst Wit, David J. Bakewell:
Borrowing strength: a likelihood ratio test for related sparse signals. Bioinform. 28(15): 1980-1989 (2012) - 2010
- [j10]Matthew Sperrin, Thomas Jaki, Ernst Wit:
Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models. Stat. Comput. 20(3): 357-366 (2010)
2000 – 2009
- 2008
- [c1]Yongxiang Fang, Ernst Wit:
Test the Overall Significance of p-values by Using Joint Tail Probability of Ordered p-values as Test Statistic. ADMA 2008: 435-443 - 2007
- [j9]David J. Bakewell, Ernst Wit:
A global statistical test for improved detection of gene activity. BMC Syst. Biol. 1(S-1): P10 (2007) - [j8]Vilda Purutçuoglu, Ernst Wit:
Bayesian inference of the kinetic parameters of a realistic MAPK/ERK pathway. BMC Syst. Biol. 1(S-1): P19 (2007) - [j7]Francis L. Martin, Matthew J. German, Ernst Wit, Thomas Fearn, Narasimhan Ragavan, Hubert M. Pollock:
Identifying Variables Responsible for Clustering in Discriminant Analysis of Data from Infrared Microspectroscopy of a Biological Sample. J. Comput. Biol. 14(9): 1176-1184 (2007) - 2006
- [j6]Raya Khanin, Ernst Wit:
How Scale-Free Are Biological Networks. J. Comput. Biol. 13(3): 810-818 (2006) - [j5]Vilda Purutçuoglu, Ernst Wit:
Exact and Approximate Stochastic Simulations of the MAPK Pathway and Comparisons of Simulations Results. J. Integr. Bioinform. 3(2) (2006) - 2005
- [j4]Veronica Vinciotti, Raya Khanin, Davide D'Alimonte, Xiaohui Liu, N. Cattini, G. Hotchkiss, Giselda Bucca, O. de Jesus, J. Rasaiyaah, Colin P. Smith, Paul Kellam, Ernst Wit:
An experimental evaluation of a loop versus a reference design for two-channel microarrays. Bioinform. 21(4): 492-501 (2005) - [j3]David J. Bakewell, Ernst Wit:
Weighted analysis of microarray gene expression using maximum-likelihood. Bioinform. 21(6): 723-729 (2005) - [j2]Raya Khanin, Veronica Vinciotti, Vassilis Mersinias, Colin P. Smith, Ernst Wit:
Computational inference of regulator activity in a single input motif from gene expression data. BMC Bioinform. 6(S-3) (2005) - 2003
- [j1]Ernst Wit, John McClure:
Statistical Adjustment of Signal Censoring in Gene Expression Experiments. Bioinform. 19(9): 1055-1060 (2003)
Coauthor Index
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