eKhSACIR інституційному репозитарії Харківської державної академії культури
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Réponse à la sélection sur le rendement de filet chez la truite arc-en-ciel
No full textSession : Génétique et sélectionNational audienc
Dynamic atlasing of gene expression domains from individual images
No full textInternational audienceAnalyzing gene expression patterns over the tissue of an organ during growth is a means to decipher the biological mechanisms that control its shaping. For this, the organ is often sampled and imaged in different individuals at different developmental stages. However, estimating a continuous developmental process from a discrete dataset is an arduous task, especially if both size and shape evolve. We propose a strategy to: 1) integrate individual data to produce a comprehensive representation of the dynamic of expression patterns in a growing tissue, and 2) superimpose and compare patterns coming from different experimental groups. This opens the way to the integrative atlasing of expression patterns in an organ during its development. To illustrate our approach, we use a particularly challenging organ that can encompass huge shape changes during growth, the plant leaf
Integrative genomics analysis of blood and microbiota data suggests a NAFLD-related disorder in SLAdd minipigs
No full textInternational audienc
Systems immunology approaches to decipher individual variability of immune capacity: application to the pig species
No full textInternational audienc
Santé connectée: co-design d’un nouveau service avec les consommateurs
No full textInternational audienceNumerous health programs have tried to make people implement their diet to improve their health. These programs - mainly education and information-oriented - nevertheless sought to fight the epidemic of obesity and its potential outcomes on health disorders. We question how connected devices could provide a more effective method to promote healthy food. They can be used in a social marketing perspective to mix virtual entertainment and real commitment to a behavioural change, such as a healthier diet for a better life.De nombreux programmes de santé ont essayé d’aider les individus à mettre en œuvre un régime alimentaire pour améliorer leur santé. Ces programmes, principalement axés sur l'éducation et l'information, visaient à lutter contre l'épidémie d'obésité et ses conséquences potentielles sur les troubles de la santé. Nous nous interrogeons sur la manière dont les appareils connectés pourraient constituer une méthode plus efficace pour promouvoir des aliments sains. Ils peuvent être utilisés dans une perspective de marketing social pour mélanger le divertissement virtuel et l'engagement réel à un changement de comportement, comme un régime plus sain pour une meilleure santé
Updating the annotation of the SLA complex from the genome assembly Sscrofa11.1
No full textInternational audienc
Influence of eucalyptus plantations on lignin compounds dynamics in tropical arenosol soils of Congo
No full textNational audienc
Variational Inference for sparse network reconstruction from count data
No full textInternational audienceThe problem of network reconstruction from continuous data has been extensively studied and most state of the art methods rely on variants of Gaussian Graphical Models (GGM). GGM are unfortunately badly suited to sparse count data spanning several orders of magnitude. Most inference methods for count data (SparCC, REBACCA, SPIEC-EASI, gCoda, etc) first transform counts to pseudo-Gaussian observations before using GGM. We rely instead on a PoissonLogNormal (PLN) model where counts follow Poisson distributions with parameters sampled from a latent multivariate Gaussian variable, and infer the network in the latent space using a variational inference procedure. This model allows us to (i) control for confounding covariates and differences in sampling efforts and (ii) integrate data sets from different origins. It is also competitive in terms of speed and accuracy with state of the art methods
