Modeling non-linear effects with neural networks in Relational Event Models.

Stochastic actor oriented model with random effects.

Latent event history models for quasi-reaction systems.

A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies.

Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis.

netgwas: An R Package for Network-Based Genome Wide Association Studies.

cglasso: An <i>R</i> Package for Conditional Graphical Lasso Inference with Censored and Missing Values.

Fast inference of latent space dynamics in huge relational event networks.

Non-parametric estimation of reciprocity and triadic effects in relational event networks.

A Software Tool For Sparse Estimation Of A General Class Of High-dimensional GLMs.

Bistability in fatty-acid oxidation resulting from substrate inhibition.

Test for triadic closure and triadic protection in temporal relational event data.

mudfold: An R Package for Nonparametric IRT Modelling of Unfolding Processes.

Selecting the tuning parameter in penalized Gaussian graphical models.

De novo construction of polyploid linkage maps using discrete graphical models.

Penalized inference of the hematopoietic cell differentiation network via high-dimensional clonal tracking.

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

A penalized inference approach to stochastic blockmodelling of community structure in the Italian Parliament.

Consistency of biological networks inferred from microarray and sequencing data.

NEAT: an efficient network enrichment analysis test.

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

Factorial graphical models for dynamic networks.

Inferring slowly-changing dynamic gene-regulatory networks.

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

Using mixture of Gamma distributions for Bayesian analysis in an M/G/1 queue with optional second service.

High dimensional Sparse Gaussian Graphical Mixture Model.

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

Borrowing strength: a likelihood ratio test for related sparse signals.

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

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

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

A global statistical test for improved detection of gene activity.

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

How Scale-Free Are Biological Networks.

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

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

Weighted analysis of microarray gene expression using maximum-likelihood.

Statistical Adjustment of Signal Censoring in Gene Expression Experiments.