Collection Thematic Month Week 5: Networks and Molecular Biology / Mois thématique Semaine 5 : Réseaux et biologie moléculaire

Organizer(s) Baudot, Anais ; Hubert, Florence ; Moss, Brigitte ; Rémy, Elisabeth ; Tichit, Laurent ; Vignes, Matthieu
Date(s) 3/2/20 - 3/6/20
linked URL https://conferences.cirm-math.fr/2305.html

All the collection videos (8)

01:08:59

published on March 23, 2020

From data to biological processes: interactions, networks and analyses, to understand cellular functions

By Christine Brun

46:37

published on March 23, 2020

Part 1 - Networks of prior knowledge as frames to understand complex biological data

By Julio Saez-Rodriguez

42:34

published on March 23, 2020

Part 2 - Dynamic logic models complement machine learning for personalized medicine

By Julio Saez-Rodriguez

01:26:46

published on March 23, 2020

Matrix factorisation techniques for data integration

By Kim-Anh Lê Cao

01:38:23

published on March 23, 2020

Learning interpretable networks from multivariate information in biological and clinical data

By Hervé Isambert

01:27:51

published on March 23, 2020

Network-guided feature selection in high-dimensional genomic data

By Chloé-Agathe Azencott

01:30:31

published on March 23, 2020

Network approaches for personalized medicine

By Maria Martinez-Rodriguez

01:20:29

published on March 23, 2020

Cell processes in space and time - exemplified with yeast mating

By Edda Klipp

Mathematics
and Interactions

Not Only Scalar Curvature Seminar

ALEA Days / Journées ALEA

Sylvia Serfaty : Systems with Coulomb Interactions

2022 - Francophone Computer Algebra Days - Journées nationales de calcul formel

Collection Thematic Month Week 5: Networks and Molecular Biology / Mois thématique Semaine 5 : Réseaux et biologie moléculaire

From data to biological processes: interactions, networks and analyses, to understand cellular functions

Part 1 - Networks of prior knowledge as frames to understand complex biological data

Part 2 - Dynamic logic models complement machine learning for personalized medicine

Matrix factorisation techniques for data integration

Learning interpretable networks from multivariate information in biological and clinical data

Network-guided feature selection in high-dimensional genomic data

Network approaches for personalized medicine

Cell processes in space and time - exemplified with yeast mating

Les Sept Filles d’Eve

Manifold Learning with Noisy Data

Federated Learning with Communication Constraints: Challenges in Compression Based Approaches

Interplay between notions of convexity in complex, symplectic and contact geometries

Méthodes automatiques pour la génération aléatoire de structures combinatoires - cours 1/2

Méthodes automatiques pour la génération aléatoire de structures combinatoires - cours 2/2

Et si SAT était vraiment difficile? Quelques conséquences des hypothèses ETH et SETH

Méthodes galoisiennes appliquées aux équations fonctionnelles issues de la combinatoire énumérative