90 citations · 133 across the 7 of their papers we have counts for
7 papers
Data Shared Neighbourhood Selection for multi-condition network inference
Blanche Francheterre, Ruben Colindres Zuehlke, Vivian Viallon +2
External stresses may affect both the circulating levels of specific biomarkers and disturb the correlation structures across molecular entities. The contribution of both types of…
An AI-driven framework for the prediction of personalised health response to air pollution
Nazanin Zounemat-Kermani, Sadjad Naderi, Claire H. Dilliway +10
Air pollution is a growing global health threat, exacerbated by climate change and linked to cardiovascular and respiratory diseases. While personal sensing devices enable real-tim…
Automated calibration of consensus weighted distance-based clustering approaches using sharp
Barbara Bodinier, Dragana Vuckovic, Sabrina Rodrigues +3
In consensus clustering, a clustering algorithm is used in combination with a subsampling procedure to detect stable clusters. Previous studies on both simulated and real data sugg…
State-of-the-Art Methods for Exposure-Health Studies: results from the Exposome Data Challenge Event
Léa Maitre, Jean-Baptiste Guimbaud, Charline Warembourg +7
The exposome recognizes that individuals are exposed simultaneously to a multitude of different environmental factors and takes a holistic approach to the discovery of etiological…
Automated calibration for stability selection in penalised regression and graphical models
Barbara Bodinier, Sarah Filippi, Therese Haugdahl Nost +2
Stability selection represents an attractive approach to identify sparse sets of features jointly associated with an outcome in high-dimensional contexts. We introduce an automated…
The TimeMachine for Inference on Stochastic Trees
Gianluca Campanella, Maria De Iorio, Ajay Jasra +1
The simulation of genealogical trees backwards in time, from observations up to the most recent common ancestor (MRCA), is hindered by the fact that, while approaching the root of…
The Time Machine: A Simulation Approach for Stochastic Trees
Ajay Jasra, Maria De Iorio, Marc Chadeau-Hyam
In the following paper we consider a simulation technique for stochastic trees. One of the most important areas in computational genetics is the calculation and subsequent maximiza…