Machine learning-based tools to model and to remove the off-target effect

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Publications associées (31)

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Soumaya Elkantassi

Higher-order asymptotics provide accurate approximations for use in parametric statistical modelling. In this thesis, we investigate using higher-order approximations in two-specific settings, with a particular emphasis on the tangent exponential model. ...

EPFL2023

Center-aware Adversarial Augmentation for Single Domain Generalization

Mathieu Salzmann, Zhiye Wang

Domain generalization (DG) aims to learn a model from multiple training (i.e., source) domains that can generalize well to the unseen test (i.e., target) data coming from a different distribution. Single domain generalization (SingleDG) has recently emerge ...

IEEE COMPUTER SOC2023

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

How to Boost Face Recognition with StyleGAN?

Nikita Durasov

State-of-the-art face recognition systems require vast amounts of labeled training data. Given the priority of privacy in face recognition applications, the data is limited to celebrity web crawls, which have issues such as limited numbers of identities. O ...

Ieee Computer Soc2023

RNA-based nanomedicines and their clinical applications

Yi Wang

RNA-based nanomedicines encompass a range of therapeutic approaches that utilize RNA molecules or molecules that target RNAs for the treatment or prevention of diseases. These include antisense oligonucleotides (ASOs), small interfering RNAs (siRNAs), endo ...

Tsinghua Univ Press2023

Epidemic Learning: Boosting Decentralized Learning with Randomized Communication

Rachid Guerraoui, Anne-Marie Kermarrec, Sadegh Farhadkhani, Rafael Pereira Pires, Rishi Sharma, Marinus Abraham de Vos

We present Epidemic Learning ( EL ), a simple yet powerful decentralized learning (DL) algorithm that leverages changing communication topologies to achieve faster model convergence compared to conventional DL approaches. At each round of EL, each node sen ...

2023

Dated: Guidelines for Creating Synthetic Datasets for Engineering Design Applications

Jürg Alexander Schiffmann, Cyril Picard, Faez Ahmed

Exploiting the recent advancements in artificial intelligence, showcased by ChatGPT and DALL-E, in real-world applications necessitates vast, domain-specific, and publicly accessible datasets. Unfortunately, the scarcity of such datasets poses a significan ...

Amer Soc Mechanical Engineers2023

Achieving high hybridization density at DNA biosensor surfaces using branched spacer and click chemistry

Mounir Driss Mensi, Sandrine Gerber, Lucas Mayoraz, Perrine Agnes Edith Robin, Alireza Kavand

The COVID-19 pandemic has highlighted the necessity to develop fast, highly sensitive and selective virus detection methods. Surface-based DNA-biosensors are interesting candidates for this purpose. Functionalization of solid substrates with DNA must be pr ...

2023

Statistical learning quantifies transposable element-mediated cis-regulation

Didier Trono, Julien Léonard Duc, Alexandre Coudray, Cyril David Son-Tuyên Pulver, Shaoline Sheppard, Evaristo Jose Planet Letschert, Raphaël Gérard Théodore Michel Marie de Deloÿe et Fourcade de Fondeville, Julien Paul André Pontis, Delphine Yvette L Grun

Background: Transposable elements (TEs) have colonized the genomes of most metazoans, and many TE-embedded sequences function as cis-regulatory elements (CREs) for genes involved in a wide range of biological processes from early embryo- genesis to innate ...

2023

Low temperature and mTOR inhibition favor stem cell maintenance in human keratinocyte cultures

Fahd Azzabi Zouraq, Kai Johnsson, Yann Barrandon, Ariane Rochat, Thomas Michael Braschler, Johannes Alexander Mosig, Jean-Baptiste Bureau, Mako Kamiya

Adult autologous human epidermal stem cells can be extensively expanded ex vivo for cell and gene therapy. Identifying the mechanisms involved in stem cell maintenance and defining culture conditions to maintain stemness is critical, because an inadequate ...

WILEY2023

Deriving Major Ion Concentrations at High Resolution from Continuous Electrical Conductivity Measurements in Karst Systems

Paolo Benettin

Time series of hydrochemical parameters support the investigation of dominant karst hydrological processes and conceptual model structures. Nevertheless, high costs for sample collection and analyses cause hydrochemical data to be rarely available at a suf ...

SPRINGER INTERNATIONAL PUBLISHING AG2023

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