61 citations · 118 across the 23 of their papers we have counts for
11 papers · 1 filter
A flexible smoother adapted to censored data with outliers and its application to SARS-CoV-2 monitoring in wastewater
Marie Courbariaux, Nicolas Cluzel, Siyun Wang +7
A sentinel network, Obépine, has been designed to monitor SARS-CoV-2 viral load in wastewaters arriving at wastewater treatment plants (WWTPs) in France as an indirect macro-epidem…
Study of the Parent-of-origin effect in monogenic diseases with variable age of onset. Application on ATTRv
Flora Alarcon, Violaine Planté-Bordeneuve, Gregory Nuel
In genetic diseases with variable age of onset, an accurate estimation of the survival function for the mutation carriers and also modifying factors effects estimations are importa…
Spline Regression with Automatic Knot Selection
Vivien Goepp, Olivier Bouaziz, Grégory Nuel
In this paper we introduce a new method for automatically selecting knots in spline regression. The approach consists in setting a large number of initial knots and fitting the spl…
Computing Individual Risks based on Family History in Genetic Disease in the Presence of Competing Risks
G Nuel, Antoine Lefebvre, O Bouaziz
When considering a genetic disease with variable age at onset (ex: diabetes , familial amyloid neuropathy, cancers, etc.), computing the individual risk of the disease based on fam…
Semi-Parametric Survival Estimation for pedigrees
Flora Alarcon, Gregory Nuel, Violaine Plante-Bordeneuve
Mendelian diseases are determined by a single mutation in a given gene. However, in the case of diseases with late onset, the age at onset is variable; it can even be the case that…
Non-subjective power analysis to detect G*E interactions in Genome-Wide Association Studies in presence of confounding factor
Flora Alarcon, Vittorio Perduca, Gregory Nuel
It is generally acknowledged that most complex diseases are affected in part by interactions between genes and genes and/or between genes and environmental factors. Taking into acc…
Joint estimation of causal effects from observational and intervention gene expression data
Andrea Rau, Florence Jaffrézic, Grégory Nuel
Background: Inference of gene regulatory networks from transcriptomic data has been a wide research area in recent years. Proposed methods are mainly based on the use of graphical…
Joint likelihood calculation for intervention and observational data from a Gaussian Bayesian network
Grégory Nuel, Andrea Rau, Florence Jaffrézic
Methodological development for the inference of gene regulatory networks from transcriptomic data is an active and important research area. Several approaches have been proposed to…
From GWAS to transcriptomics in prospective cancer design - new statistical challenges
Sandra Plancade, Gregory Nuel, Eiliv Lund
Background. With the increasing interest in post-GWAS research which represents a transition from genome-wide association discovery to analysis of functional mechanisms, attention…
Hidden Markov Model Applications in Change-Point Analysis
The Minh Luong, Vittorio Perduca, Gregory Nuel
The detection of change-points in heterogeneous sequences is a statistical challenge with many applications in fields such as finance, signal analysis and biology. A wide variety o…
Fast estimation of posterior probabilities in change-point models through a constrained hidden Markov model
The-Minh Luong, Yves Rozenholc, Gregory Nuel
The detection of change-points in heterogeneous sequences is a statistical challenge with applications across a wide variety of fields. In bioinformatics, a vast amount of methodol…