123 citations · 301 across the 20 of their papers we have counts for
9 papers · 1 filter
Nodal heterogeneity can induce ghost triadic effects in relational event models
Rūta Juozaitienė, Ernst C. Wit
Temporal network data is often encoded as time-stamped interaction events between senders and receivers, such as co-authoring scientific articles or communication via email. A numb…
Identifying overlapping terrorist cells from the Noordin Top actor-event network
Saverio Ranciati, Veronica Vinciotti, Ernst C. Wit
Actor-event data are common in sociological settings, whereby one registers the pattern of attendance of a group of social actors to a number of events. We focus on 79 members of t…
netgwas: An R Package for Network-Based Genome-Wide Association Studies
Pariya Behrouzi, Danny Arends, Ernst C. Wit
Graphical models are a powerful tool in modelling and analysing complex biological associations in high-dimensional data. The R-package netgwas implements the recent methodological…
Detecting Epistatic Selection with Partially Observed Genotype Data Using Copula Graphical Models
P. Behrouzi, E. C. Wit
Recombinant Inbred Lines derived from divergent parental lines can display extensive segregation distortion and long-range linkage disequilibrium (LD) between distant loci. These g…
A penalized inference approach to stochastic block modelling of community structure in the Italian Parliament
Mirko Signorelli, Ernst C. Wit
We analyse bill cosponsorship networks in the Italian Chamber of Deputies. In comparison with other parliaments, a distinguishing feature of the Chamber is the large number of poli…
NEAT: an efficient network enrichment analysis test
Mirko Signorelli, Veronica Vinciotti, Ernst C. Wit
Network enrichment analysis is a powerful method, which allows to integrate gene enrichment analysis with the information on relationships between genes that is provided by gene ne…
Mixture model with multiple allocations for clustering spatially correlated observations in the analysis of ChIP-Seq data
Saverio Ranciati, Cinzia Viroli, Ernst Wit
Model-based clustering is a technique widely used to group a collection of units into mutually exclusive groups. There are, however, situations in which an observation could in pri…
Network estimation in State Space Model with L1-regularization constraint
Anani Lotsi, Ernst Wit
Biological networks have arisen as an attractive paradigm of genomic science ever since the introduction of large scale genomic technologies which carried the promise of elucidatin…
State-space modeling of dynamic genetic networks
Anani Lotsi, Ernst Wit
The genomic reality is a highly complex and dynamic system. The recent development of high-throughput technologies has enabled researchers to measure the abundance of many genes (i…