Publications associées à A platform for experimental precision medicine: The extended BXD mouse family

Meeting our Makers: Uncovering the cis-regulatory activity of transposable elements using statistical learning

The adaptation of organisms to their environment depends on the innovative potential inherent to genetic variation. In complex organisms such as mammals, processes like development and immunity require tight gene regulation. Complex forms emerge more often ...

EPFL2024

Identifying genetic and dietary modulators of metabolic disorders using systems genetics

Xiaoxu Li

Long-term consumption of lipid-rich foods can contribute to common metabolic diseases and systemic low-grade inflammation. However, dietary responses and the development of non-communicable diseases are shaped by genetic factors and gene-by-environment int ...

EPFL2023

Deep Learning Generalization with Limited and Noisy Labels

Mahsa Forouzesh

Deep neural networks have become ubiquitous in today's technological landscape, finding their way in a vast array of applications. Deep supervised learning, which relies on large labeled datasets, has been particularly successful in areas such as image cla ...

EPFL2023

Towards mouse genetic-specific RNA-sequencing read mapping

Maxime Jan, Ioannis Xenarios

Genetic variations affect behavior and cause disease but understanding how these variants drive complex traits is still an open question. A common approach is to link the genetic variants to intermediate molecular phenotypes such as the transcriptome using ...

2022

A Phylogeny-aware GWAS Framework to Correct for Heritable Pathogen Effects on Infectious Disease Traits

Jacques Fellay, Christian Axel Wandall Thorball

Infectious diseases are particularly challenging for genome-wide association studies (GWAS) because genetic effects from two organisms (pathogen and host) can influence a trait. Traditional GWAS assume individual samples are independent observations. Howev ...

OXFORD UNIV PRESS2022

Genome-Wide Association Study of Alzheimer's Disease Brain Imaging Biomarkers and Neuropsychological Phenotypes in the European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery Dataset

Christopher Clark

Alzheimer's disease (AD) is the most frequent neurodegenerative disease with an increasing prevalence in industrialized, aging populations. AD susceptibility has an established genetic basis which has been the focus of a large number of genome-wide associa ...

FRONTIERS MEDIA SA2022

Genomic consequences of colonisation, migration and genetic drift in barn owl insular populations of the eastern Mediterranean

Nicolas Jean Philippe Guex, Eléonore Lavanchy

The study of insular populations was key in the development of evolutionary theory. The successful colonisation of an island depends on the geographic context, and specific characteristics of the organism and the island, but also on stochastic processes. A ...

2022

Regulation of sedimentation rate shapes the evolution of multicellularity in a close unicellular relative of animals

Omaya Pierre Dudin

Significant increases in sedimentation rate accompany the evolution of multicellularity. These increases should lead to rapid changes in ecological distribution, thereby affecting the costs and benefits of multicellularity and its likelihood to evolve. How ...

PUBLIC LIBRARY SCIENCE2022

Removing Algorithmic Discrimination (With Minimal Individual Error)

Rachid Guerraoui, El Mahdi El Mhamdi, Alexandre David Olivier Maurer, Le Nguyen Hoang

We address for the first time the problem of correcting group discriminations within a score function, while minimizing the individual error. Each group is described by a probability density function on the set of profiles. We first solve the problem analy ...

2022

Mixed-precision explicit stabilized Runge-Kutta methods for single- and multi-scale differential equations

Giacomo Rosilho De Souza, Matteo Croci

Mixed-precision algorithms combine low-and high-precision computations in order to benefit from the performance gains of reduced-precision without sacrificing accuracy. In this work, we design mixed-precision Runge-Kutta-Chebyshev (RKC) methods, where high ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022