A5089795083- Sensory Analysis and Statistical Methods
- Advanced Radiotherapy Techniques
- Statistical Methods and Applications
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Biochemical Analysis and Sensing Techniques
- Business, Innovation, and Economy
- Radiation Dose and Imaging
- Agricultural and Food Production Studies
- Spectroscopy and Chemometric Analyses
- Genetic and phenotypic traits in livestock
- Color perception and design
- Bayesian Methods and Mixture Models
- Medical Imaging Techniques and Applications
- Multisensory perception and integration
- Agriculture and Rural Development Research
- Blind Source Separation Techniques
- Meat and Animal Product Quality
- Radiation Effects and Dosimetry
- Data Analysis with R
- Nutritional Studies and Diet
- Health disparities and outcomes
- Data Mining Algorithms and Applications
- Radiation Therapy and Dosimetry
Institut de recherche mathématique de Rennes
2016-2025
Centre National de la Recherche Scientifique
2009-2025
L'Institut Agro
2004-2025
Université de Rennes
2023-2025
University of Ferrara
2023
Saft (France)
2023
Institut Agro Rennes-Angers
2008-2022
Google (United States)
2022
Institut national de recherche en informatique et en automatique
2022
Université Paris-Saclay
2022
In this article, we present <b>FactoMineR</b> an R package dedicated to multivariate data analysis. The main features of is the possibility take into account different types variables (quantitative or categorical), structure on (a partition variables, a hierarchy individuals) and finally supplementary information (supplementary individuals variables). Moreover, dimensions issued from exploratory analyses can be automatically described by quantitative and/or categorical variables. Numerous...
We present the R package missMDA which performs principal component methods on incomplete data sets, aiming to obtain scores, loadings and graphical representations despite missing values. Package include analysis for continuous variables, multiple correspondence categorical factorial mixed both factor multi-table data. Furthermore, can be used perform single imputation complete involving continuous, variables. A method is also available. In framework, variability across different...
ABSTRACT We propose a new package for sensory data analysis, named SensoMineR. SensoMineR is implemented in the R programming environment and can be accessed at following addresses: http://sensominer.free.fr or http://cran.r‐project.org . This produces graphical displays of that are simple to interpret, it also provides syntheses results issuing from various analysis variance models factor methods accompanied with confidence ellipses. PRACTICAL APPLICATIONS free software intended analysts...
Abstract Background Genomic analysis will greatly benefit from considering in a global way various sources of molecular data with the related biological knowledge. It is thus great importance to provide useful integrative approaches dedicated ease interpretation microarray data. Results Here, we introduce data-mining approach, Multiple Factor Analysis (MFA), combine multiple sets and add formalized MFA used jointly analyse structure emerging genomic transcriptomic sets. The common structures...
We propose a multiple imputation method based on principal component analysis (PCA) to deal with incomplete continuous data. To reflect the uncertainty of parameters from one next, we use Bayesian treatment PCA model. Using simulation study and real data sets, is compared two classical approaches: joint modelling fully conditional modelling. Contrary others, proposed can be easily used sets where number individuals less than variables when are highly correlated. In addition, it provides...
The aim of this study is to introduce tools improve the security each IMRT patient treatment by determining action levels for dose delivery process. To achieve this, patient-specific quality control results performed with an ionization chamber--and which characterize process--have been retrospectively analyzed using a method borrowed from industry: Statistical process (SPC). latter consisted in fulfilling four principal well-structured steps. authors first quantified short-term variability...
Feed management is one of the principal levers by which production and composition milk dairy cows can be modulated in short term. The response yield to variations either energy or protein supplies well known. However, practice, dietary vary simultaneously, their interaction still not understood. objective this trial was determine whether interacted effects on changes diets depended parity potential cows. From results, a model built predict simultaneous relative requirements Nine treatments,...
This study developed a novel statistical approach to account for relative age effect (RAE) on physical performance in young populations. Data from 1715 elite youth French rugby union players (age: mean =15.9yrs, sd =1.2; height: =177cm, =9; mass: =79kg, =16) were analysed using their 50 m sprint times. Linear mixed models employed characterise the relationship between and performance, incorporating log transformations address non-linearity additional parameters refine model accuracy....
Introduction: Fat graft (FG) is widely used in breast reconstructive surgery (RS) following mastectomy or lumpectomy for cancer (BC); however, concerns persist about its oncological safety. This study evaluates the impact of FG reconstruction compared to other techniques on BC survival young women. Methods: We identified patients aged 18-45 treated non-metastatic French National Healthcare System Database between January 1, 2010, and December 31, 2018. Patients undergoing were matched with...