Ernst Wit

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Microarray Myths: Inference

Ernst Wit, John McClure, 2004 .

Factorial graphical models for dynamic networks

Ernst Wit, Antonino Abbruzzo, Ernst Wit, 2015, Network Science.

An experimental evaluation of a loop versus a reference design for two-channel microarrays

Xiaohui Liu, Raya Khanin, Ernst Wit, 2005, Bioinform..

Exact and Approximate Stochastic Simulations of the MAPK Pathway and Comparisons of Simulations Results

Ernst Wit, Vilda Purutçuoglu Gazi, E. Wit, 2006, J. Integr. Bioinform..

Joint modeling of ChIP-seq data via a Markov random field model.

Ernst Wit, Veronica Vinciotti, Yanchun Bao, 2013, Biostatistics.

Statistical Design of Microarrays

Ernst Wit, John McClure, 2004 .

ℓ1‐Penalized Methods in High‐Dimensional Gaussian Markov Random Fields

Ernst Wit, Luigi Augugliaro, Angelo M. Mineo, 2016 .

Learning and Inference in Computational Systems Biology by LAWRENCE, N. D., GIROLAMI, M., RATTRAY, M., and SANGUINETTI, G

Ernst Wit, 2012 .

Test the Overall Significance of p-values by Using Joint Tail Probability of Ordered p-values as Test Statistic

Ernst Wit, Yongxiang Fang, Yongxiang Fang, 2008, ADMA.

ESTIMATING KULLBACK-LEIBLER LOSS IN GAUSSIAN GRAPHICAL MODELS

Ernst Wit, Antonino Abbruzzo, Ivan Vujačić, 2013 .

Computational inference of regulator activity in a single input motif from gene expression data

Raya Khanin, Ernst Wit, Veronica Vinciotti, 2005, BMC Bioinformatics.

High dimensional Sparse Gaussian Graphical Mixture Model pdf

Ernst Wit, Anani Lotsi, E. Wit, 2013, ArXiv.

Leeds Annual Statistical Research Workshop "High-throughput Sequencing, Proteins and Statistics"

Ernst Wit, Antonio Abbruzzo, 2010 .

Statistical Adjustment of Signal Censoring in Gene Expression Experiments

Ernst Wit, John McClure, E. Wit, 2003, Bioinform..

Preface to the themed issue on ‘Statistical network science and its applications’

Ernst Wit, Veronica Vinciotti, 2017 .

Identifying Variables Responsible for Clustering in Discriminant Analysis of Data from Infrared Microspectroscopy of a Biological Sample

Ernst Wit, Hubert M. Pollock, Francis L. Martin, 2007, J. Comput. Biol..

Learning and Inference in Computational Systems Biology

Ernst Wit, 2012 .

Bayesian inference of the kinetic parameters of a realistic MAPK/ERK pathway

Ernst Wit, Vilda Purutçuoglu Gazi, 2007, BMC Systems Biology.

Sparse model-based network inference using Gaussian graphical models

Ernst Wit, Antonio Abbruzzo, 2010 .

Model selection for penalized Gaussian Graphical Models

Ernst Wit, Antonino Abbruzzo, Angelo M. Mineo, 2013 .

Time-course window estimator for ordinary differential equations linear in the parameters

Ernst Wit, Javier González, Itai Dattner, 2015, Stat. Comput..

A penalized inference approach to stochastic block modelling of community structure in the Italian Parliament pdf

Ernst Wit, Mirko Signorelli, M. Signorelli, 2016, ArXiv.

Exact and Approximate Stochastic Simulations of the MAPK Pathway and Comparisons of Simulations’ Results

Ernst Wit, Vilda Purutçuoğlu, E. Wit, 2006 .

Discussion of the article " Large simultaneous inference with applications to the detection of differential expression with microarray data" by G. McLachlan, K. Wang, SK. Ng

Ernst Wit, L Palla, 2008 .

Introduction to Network Inference in Genomics

Ernst Wit, E. Wit, 2019, Network Science.

Proceedings of the 19th International Workshop on Statistical Modelling

Ernst Wit, Nial Friel, 2004 .

FGX: a frequentist gene expression index for Affymetrix arrays.

Ernst Wit, Vilda Purutçuoglu, E. Wit, 2007, Biostatistics.

Statistica Neerlandica special issue on Statistical Network Science

Ernst Wit, Veronica Vinciotti, V. Vinciotti, 2020, Statistica Neerlandica.

The extendibility of statistical models

Ernst Wit, Peter McCullagh, 2001 .

NEAT: an efficient network enrichment analysis test

Ernst Wit, Veronica Vinciotti, Mirko Signorelli, 2016, BMC Bioinformatics.

Near‐optimal designs for dual channel microarray studies

Raya Khanin, Ernst Wit, Agostino Nobile, 2005 .

Eleventh international Meeting on Computational Intelligence Methods for Bioinformatiocs and Biostatistics, CIBB 2014

Ernst Wit, Luigi Augugliaro, Antonio Abbruzzo, 2014 .

Methods of Microarray Data Analysis V

Raya Khanin, Ernst Wit, R. Khanin, 2007 .

Dynamic Gaussian Graphical Models for Modelling Genomic Networks

Ernst Wit, Antonino Abbruzzo, Clelia Di Serio, 2013, CIBB.

Factorial Graphical Lasso and Slowly Changing Graphical Models for Estimating Dynamic Networks

Ernst Wit, Antonino Abbruzzo, 2012 .

DgCox: a differential geometric approach for high-dimensional Cox proportional hazard models

Ernst Wit, Javier González, Fentaw Abegaz, 2014, CIBB 2014.

A global statistical test for improved detection of gene activity

Ernst Wit, David J. Bakewell, E. Wit, 2007, BMC Systems Biology.

Weighted analysis of microarray gene expression using maximum-likelihood

Ernst Wit, David J. Bakewell, E. Wit, 2005, Bioinform..

Inferring slowly-changing dynamic gene-regulatory networks

Ernst Wit, Antonino Abbruzzo, E. Wit, 2015, BMC Bioinformatics.

Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data

Peter A. C. 't Hoen, Ernst Wit, Yanchun Bao, 2013, BMC Bioinformatics.

Statistics for Microarrays : Design, Analysis and Inference

Ernst Wit, John McClure, E. Wit, 2004 .

Statistics for microarrays

Ernst Wit, John McClure, John McClure, 2004 .

21st International Conference on Computational Statistics (COMPSTAT 2014)

Ernst Wit, Luigi Augugliaro, Angelo M. Mineo, 2012 .

Hierarchical Graphical Model for Learning Functional Network Determinants

Ernst Wit, Sally Paganin, Emanuele Aliverti, 2017 .

Gaining weights... and feeling good about it!

Ernst Wit, Vilda Purutcuoglu, Lucy O'Donovan, 2007, Advances in experimental medicine and biology.

The use of statistics in microarray studies

Ernst Wit, 2009 .

De novo construction of polyploid linkage maps using discrete graphical models

Ernst Wit, Pariya Behrouzi, E. Wit, 2017, Bioinform..

Reconstruction of Networks with Direct and Indirect Genetic Effects

Ernst Wit, María Xosé Rodríguez-Álvarez, Fred van Eeuwijk, 2019, Genetics.

Toward 'smart' DNA microarrays: algorithms for improving data quality and statistical inference

Ernst Wit, David J. G. Bakewell, 2006, SPIE Micro + Nano Materials, Devices, and Applications.

How Scale-Free Are Biological Networks

Raya Khanin, Ernst Wit, R. Khanin, 2006, J. Comput. Biol..

Efficient birth-death MCMC inference for Gaussian graphical models

Ernst Wit, Abdolreza Mohammadi, 2012 .

Integrating statistical approaches in experimental design and data analysis

Raya Khanin, Ernst Wit, 2005 .

Set‐Up of a Microarray Experiment

Ernst Wit, John McClure, 2004 .

Proceedings of COMPSTAT 2006

Alessio Pollice, Ernst Wit, Angela Reechia, 2000 .

Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models

Ernst Wit, Thomas Jaki, Matthew Sperrin, 2010, Stat. Comput..

Model-based clustering for populations of networks

Ernst Wit, Mirko Signorelli, M. Signorelli, 2018, Statistical Modelling.

Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations

Ernst Wit, Javier González, Ivan Vujacic, 2013, Pattern Recognit. Lett..

Selecting the tuning parameter in penalized Gaussian graphical models

Ernst Wit, Antonino Abbruzzo, Angelo M. Mineo, 2018, Statistics and Computing.

Gaussian graphical model determination based on birth-death MCMC inference

Ernst Wit, Abdolreza Mohammadi, 2013 .

CLUSTERING TWO-MODE BINARY NETWORK DATA WITH OVERLAPPING MIXTURE MODEL AND COVARIATES INFORMATION

Ernst Wit, Saverio Ranciati, Veronica Vinciotti, 2019 .

‘All models are wrong...’: an introduction to model uncertainty

Jan-Willem Romeijn, Ernst Wit, Edwin van den Heuvel, 2012 .

Borrowing strength: a likelihood ratio test for related sparse signals

Ernst Wit, David J. Bakewell, E. Wit, 2012, Bioinform..

Extended differential geometric LARS for high-dimensional GLMs with general dispersion parameter

Ernst Wit, Hassan Pazira, Luigi Augugliaro, 2017, Statistics and Computing.

Bayesian Structure Learning in Graphical Models using Birth-Death MCMC [R package BDgraph version 2.63]

Ernst Wit, Reza Mohammadi, 2020 .

Consistency of biological networks inferred from microarray and sequencing data

Peter A. C. 't Hoen, Ernst Wit, Dorret I. Boomsma, 2016, BMC Bioinformatics.

State-space Modelling of Replicated Dynamic Genetic Networks

Ernst Wit, Anani Lotsi, E. Wit, 2016 .

A computationally fast alternative to cross-validation in penalized Gaussian graphical models

Ernst Wit, Antonino Abbruzzo, Ivan Vujacic, 2013, 1309.6216.

Design of Large Time-Course Microarray Experiments with Two Channels

Raya Khanin, Ernst Wit, R. Khanin, 2005, Applied bioinformatics.

Bayesian model selection in sparse Gaussian graphical models

Ernst Wit, Abdolreza Mohammadi, 2014 .

Bayesian inference for the MAPK/ERK pathway by considering the dependency of the kinetic parameters

Ernst Wit, Vilda Purutçuoğlu, E. Wit, 2008 .

Local model uncertainty and incomplete-data bias

Ernst Wit, Vilda Purutçuoğlu, Shinto Eguchi, 2005 .

Differential geometric least angle regression: a differential geometric approach to sparse generalized linear models

Ernst Wit, Luigi Augugliaro, Angelo M. Mineo, 2013 .

Reconstructing repressor protein levels from expression of gene targets in E. Coli.

Ernst Wit, Veronica Vinciotti, Raya Khanin, 2006 .

Smart Materials, Nano-and Micro-Smart Systems

Ernst Wit, David J. G. Bakewell, E. Wit, 2006 .

dglars: An R Package to Estimate Sparse Generalized Linear Models

Ernst Wit, Luigi Augugliaro, Angelo M. Mineo, 2014 .

Bayesian Inference in Hidden Markov Random Fields for Binary Data Defined on Large Lattices

Anthony N. Pettitt, Ernst Wit, Nial Friel, 2009 .

State-space modeling of dynamic genetic networks

Ernst Wit, Anani Lotsi, 2013 .

Penalized EM algorithm and copula skeptic graphical models for inferring networks for mixed variables

Ernst Wit, Fentaw Abegaz, 2014 .

Bayesian Smooth-and-Match estimation of ordinary differential equations' parameters with quantifiable solution uncertainty

Ernst Wit, Cinzia Viroli, Saverio Ranciati, 2016 .

Network estimation in State Space Models with L1-regularization constraint

Ernst Wit, Anani Lotsi, E. Wit, 2013, 1308.4079.

A differential-geometric approach to generalized linear models with grouped predictors

Ernst Wit, Luigi Augugliaro, Angelo M. Mineo, 2016 .

Copula Gaussian graphical models with penalized ascent Monte Carlo EM algorithm

Ernst Wit, Fentaw Abegaz, Fentaw Abegaz, 2015 .