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) 02/03/2020 - 06/03/2020
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

Geometric structures and discrete group actions / Structures géométriques et actions de groupes discrets

Misha Gromov : Mathematical Description of Biological Structures

Applications of NonCommutative Geometry to Gauge Theories, Field Theories, and Quantum Space-Time / Applications de la Géométrie Non Commutative aux Théories de Jauge, à la Théorie des Champs et aux Espaces-Temps Quantiques

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

Ergodic theory of the geodesic flow of hyperbolic surfaces - Lecture 1

Ergodic theory of the geodesic flow of hyperbolic surfaces - Lecture 2

Topics in Algorithmic Fairness

Deep Out-of-the-distribution Uncertainty Quantification in for Data (Science) Scientists

Fair Classifiers via Transferable Representations