The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models

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A Spatial Branch and Bound Algorithm for Continuous Pricing with Advanced Discrete Choice Demand Modeling

Michel Bierlaire

In this paper, we present a spatial branch and bound algorithm to tackle the continuous pricing problem, where demand is captured by an advanced discrete choice model (DCM). Advanced DCMs, like mixed logit or latent class models, are capable of modeling de ...

2023

Robust gamma-aminobutyric acid and energy metabolism measurements by proton and phosphorus magnetic resonance spectroscopy and fingerprinting

Songi Lim

Magnetic resonance spectroscopy (MRS) is the only technique that can detect endogenous metabolites directly and non-invasively in vivo. It allows to identify different metabolites and analyze the dynamic neurochemical processes in the brain, skeletal muscl ...

EPFL2023

Regulation and impact of TERRA R-loops at human telomeres

Rita Valador Fernandes

Telomeres are the nucleoprotein structures found at the ends of linear chromosomes. They ensure that the termini of chromosomes are not inappropriately recognized as sites of DNA damage, and are therefore crucial for genome stability. In spite of the heter ...

EPFL2023

Statistical learning quantifies transposable element-mediated cis-regulation

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

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

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

Christophe Ballif, Nicolas Würsch, Laure-Emmanuelle Perret Aebi, Marine Dominique Cauz

The decentralisation and unpredictability of new renewable energy sources require rethinking our energy system. Data-driven approaches, such as reinforcement learning (RL), have emerged as new control strategies for operating these systems, but they have n ...

2023

cgNA+: A sequence-dependent coarse-grain model of double-stranded nucleic acids

Rahul Sharma

DNA mechanics plays a crucial role in many biological processes, including nucleosome positioning and protein-DNA interactions. It is believed that nature employs epigenetic modifications in DNA to further regulate gene expression. Moreover, double-strande ...

EPFL2023

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

An explainability framework for deep learning on chemical reactions exemplified by enzyme-catalysed reaction classification

Daniel Probst

Assigning or proposing a catalysing enzyme given a chemical or biochemical reaction is of great interest to life sciences and chemistry alike. The exploration and design of metabolic pathways and the challenge of finding more sustainable enzyme-catalysed a ...

2023

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

Baiwei Guo

Control systems operating in real-world environments often face disturbances arising from measurement noise and model mismatch. These factors can significantly impact the perfor- mance and safety of the system. In this thesis, we aim to leverage data to de ...

EPFL2023

Construction of sequencing libraries from a ribonucleic acid (rna) using tailing and ligation of cdna (tlc)

Didier Trono, Christina Ernst

The present invention provides a method for preparing a sequencing library from a ribonucleic acid (RNA) sample. ...

2023

Results on Sparse Integer Programming and Geometric Independent Sets

Jana Tabea Cslovjecsek

An integer linear program is a problem of the form max{c^T x : Ax=b, x >= 0, x integer}, where A is in Z^(n x m), b in Z^m, and c in Z^n. Solving an integer linear program is NP-hard in general, but there are several assumptions for which it becomes fixed ...

EPFL2023

Chromatin modules and their implication in genomic organization and gene regulation

Judith Franziska Kribelbauer, Bart Deplancke, Guido Van Mierlo

Regulation of gene expression is a complex but highly guided process. While genomic technologies and computational approaches have allowed high-throughput mapping of cis-regulatory elements (CREs) and their interactions in 3D, their precise role in regulat ...

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