Concept

Biologie computationnelle

Publications associées (422)

Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrations

Vassily Hatzimanikatis, Ljubisa Miskovic, Meriç Ataman, Georgios Fengos, Tuure Eelis Hameri

Large-scale kinetic models are used for designing, predicting, and understanding the metabolic responses of living cells. Kinetic models are particularly attractive for the biosynthesis of target molecules in cells as they are typically better than other t ...

2019

On machine learning force fields for metallic nanoparticles

Kevin Rossi

Machine learning algorithms have recently emerged as a tool to generate force fields which display accuracies approaching the ones of the ab-initio calculations they are trained on, but are much faster to compute. The enhanced computational speed of machin ...

2019

A Representer Theorem for Deep Neural Networks

Michaël Unser

We propose to optimize the activation functions of a deep neural network by adding a corresponding functional regularization to the cost function. We justify the use of a second-order total-variation criterion. This allows us to derive a general represente ...

MICROTOME PUBL2019

Open-Vocabulary Keyword Spotting with Audio and Text Embeddings

Martin Jaggi, Milos Cernak, Niccolò Sacchi

Keyword Spotting (KWS) systems allow detecting a set of spoken (pre-defined) keywords. Open-vocabulary KWS systems search for the keywords in the set of word hypotheses generated by an automatic speech recognition (ASR) system which is computationally expe ...

2019

Computational tools for the fatigue life modeling and prediction of composite materials and structures

Anastasios Vassilopoulos

Structural testing is probably the best and only way to reveal the actual performance of composite laminates, structural components, and complete composite structures under fatigue loading. Nevertheless, the high cost, and the multitude of loading cases a ...

Elsevier2019

A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble

Pierre Magistretti, Henry Markram, Felix Schürmann, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Jay Coggan, Renaud Jolivet, Corrado Cali, Stefan Eilemann, Daniya Boges, Kalpana Kare, Markus Hadwiger, Marco Agus

One will not understand the brain without an integrated exploration of structure and function, these attributes being two sides of the same coin: together they form the currency of biological computation. Accordingly, biologically realistic models require ...

2018

Analysis of cellular and drug action mechanisms in the malaria parasites using systems biology approaches

Anush Chiappino-Pepe

Malaria puts at risk of infection half of the world population and still kills around half a million people every year. The rapid and worrisome rise of drug-resistant malaria parasites hinders the treatment of malaria and calls for a global collaboration t ...

EPFL2018

A cost-effective isogeometric approach for composite plates based on a stress recovery procedure

Pablo Antolin Sanchez, Alessandro Reali

This paper introduces a cost-effective strategy to simulate the behavior of laminated plates by means of isogeometric 3D solid elements. Exploiting the high continuity of spline functions and their properties, a proper out-of-plane stress state is recovere ...

2018

Modeling robot geometries like molecules, application to fast multi-contact posture planning for humanoids

Auke Ijspeert, Salman Faraji

Traditional joint-space models used to describe equations of motion for humanoid robots offer nice properties linked directly to the way these robots are built. However, from a computational point of view and convergence properties, these models are not th ...

Ieee-Inst Electrical Electronics Engineers Inc2018

Comparison of computational methods for the identification of topologically associating domains

Elisa Oricchio, Daniele Tavernari, Giovanni Ciriello

BackgroundChromatin folding gives rise to structural elements among which are clusters of densely interacting DNA regions termed topologically associating domains (TADs). TADs have been characterized across multiple species, tissue types, and differentiati ...

BMC2018

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