LEGO 2023

Keynotes

Nataliya Sokolovska, professeure au LCQB, Sorbonne Université.

Titre: Interpretable models in machine learning and their application in medicine

Julien Chiquet, directeur de recherche à l’UMR MIA, Université Paris-Saclay.

Titre: Some probabilistic machine learning approaches to dimension reduction with applications to life sciences

Programme

9h-9h15 : Introduction

9h15-10h : Interpretable models in machine learning and their application in medicine (Keynote), Nataliya Sokolovska

10h-10h30 : The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics, Javier Mendoza Revilla

10h30-11h : break

11h-11h30 : Exogenous chromosomes reveal how sequence composition drives chromatin assembly, activity, folding and compartmentalization, Julien Mozziconacci

11h30-12h : Probing transcription initiation at microsatellites with fully explainable deep neural networks, Charles-Henri Lecellier

12h-13h45 : posters & lunch

13h45-14h30 : Some probabilistic machine learning approaches to dimension reduction with applications to life sciences (Keynote), Julien Chiquet

14h30-15h : Model fitness landscapes for genes’ interaction pathways, Wang Shuhui

15h-15h30 : break

15h30-16h : Maximum entropy models shed light on viral host adaptation, Andrea Di Gioacchino

16h30-17h : Machine learning prediction of genetic variant pleiotropy to characterize the human genetic architecture, Martin Tournaire

Aspects logistiques

La journée aura lieu dans l’amphithéâtre ASTIER du Bâtiment SCAI Esclangon – Sorbonne Université, Paris, France.

Elle débutera le mercredi 31 mai à 9h et se terminera à 17h.

Un déjeuner sera proposé aux personnes inscrites.

L’événement est gratuit, mais l’inscription obligatoire pour raisons logistiques: https://lego2023.sciencesconf.org/registration

Appel à contributions [fermé]

Nous acceptons les résumés de 300 mots ou moins, en français ou en anglais, décrivant des recherches en cours ou publiées récemment sur des sujets de machine learning pour la génomique.

Les membres de l’animation du GT sélectionneront un sous-ensemble des résumés soumis pour des présentations orales, et d’autres pour une présentation sous forme de posters. Les présentations auront lieu en anglais.

Les résumés sont à envoyer ici avant le 5 mai 2023 (la soumission nécessite de se connecter au site scienceconf).


Schedule

9h-9h15 : Introduction

9h15-10h : Interpretable models in machine learning and their application in medicine (Keynote), Nataliya Sokolovska

10h-10h30 : The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics, Javier Mendoza Revilla

10h30-11h : break

11h-11h30 : Exogenous chromosomes reveal how sequence composition drives chromatin assembly, activity, folding and compartmentalization, Julien Mozziconacci

11h30-12h : Probing transcription initiation at microsatellites with fully explainable deep neural networks, Charles-Henri Lecellier

12h-13h45 : posters & lunch

13h45-14h30 : Some probabilistic machine learning approaches to dimension reduction with applications to life sciences (Keynote), Julien Chiquet

14h30-15h : Model fitness landscapes for genes’ interaction pathways, Wang Shuhui

15h-15h30 : break

15h30-16h : Maximum entropy models shed light on viral host adaptation, Andrea Di Gioacchino

16h30-17h : Machine learning prediction of genetic variant pleiotropy to characterize the human genetic architecture, Martin Tournaire

Practical aspects

The meeting will take place in the ASTIER room of the SCAI Bâtiment Esclangon – Sorbonne Université, Paris, France.

It will start on May 31st at 9 am and end at 5 pm.

A lunch will be offered to all participants.

The event is free, but registration is mandatory (here) for logistical reasons.

Call for papers [closed]

We welcome abstracts of up to 300 words, in French or English, on recently published or ongoing research related to machine learning for genomics.Submission platform to be open soon.

The working group organizers will select a subset of the submitted abstracts for oral presentations (in English), an others for poster presentations.

The deadline is set to May 5th, 2023 and abstracts should be submitted here (submission requires to log in to the scienceconf website).